22 Uspba Sba Analytics c12 jobs in India

**Job Description**
Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C12 (Individual Contributor) AVP is within Retail Bank Fraud Analytics team in Citi AIM.The primary area of focus for this position is to analyze transaction data, understand fraud pattern , develop fraud loss mitigation strategies with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact. The person will also be responsible for monitoring strategy performance, collaborate with strategy implementation team for strategy implementation, proactively come up with fraud loss mitigation measure leveraging new data sources, advanced analytics techniques wherever applicable.
**Job Description Summary:**
+ The individual is expected to be hands-on with analysis on regular and / or ad hoc basis, extract different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance.
+ Individual should be able to have a holistic view of different retail banking products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations.
+ Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable.
+ Experience in stakeholder management across various functions and regions. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and communicate clearly and effectively to business partners and senior leaders. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.
+ Presentation Skills : Delivering clean and clear presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management.
+ Project Management - Should have skillset to manage project in terms of creating project plan, assigning responsibilities amongst junior team members, and completion of projects in timely fashion and escalating managing and reporting control issues with transparency. Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in business solutions and/or modeling and implementing such solutions to create economic value.
+ The individual is expected to support regulatory/audit activities and /or other risk and control activities whenever needed.
**Qualifications:**
+ 8+ years of analytics experience , prior experience in Fraud analytics preferrable
+ Advanced analytical and business strategy skills
+ Effective communication skills
+ Ability to present to business partners and/or leaders to gain approvals.
+ Project and process management skills
+ Excellent written and verbal communications skill
+ Experience with a prior focus in financial services analytics.
+ Solid organizational skills and ability to manage multiple projects at one time.
+ Self-starter who also has a demonstrated ability to work successfully in team environment and drive.
**Education:**
+ Bachelors/University degree or equivalent experience. Master's degree is preferable.
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Business Analysis
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

**Job Description**
Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C12 (Individual Contributor) AVP is within Cards Fraud Analytics team in Citi AIM.The primary area of focus for this position is to analyze transaction data, understand fraud pattern , develop fraud loss mitigation strategies with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact. The person will also be responsible for monitoring strategy performance, collaborate with strategy implementation team for strategy implementation, proactively come up with fraud loss mitigation measure leveraging new data sources, advanced analytics techniques wherever applicable.
**Job Description Summary:**
+ The individual is expected to be hands-on with analysis on regular and / or ad hoc basis, extract different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance.
+ Individual should be able to have a holistic view of different Cards products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations.
+ Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable.
+ Experience in stakeholder management across various functions and regions. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and communicate clearly and effectively to business partners and senior leaders. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.
+ Presentation Skills : Delivering clean and clear presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management.
+ Project Management - Should have skillset to manage project in terms of creating project plan, assigning responsibilities amongst junior team members, and completion of projects in timely fashion and escalating managing and reporting control issues with transparency. Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in business solutions and/or modeling and implementing such solutions to create economic value.
+ The individual is expected to support regulatory/audit activities and /or other risk and control activities whenever needed.
**Qualifications:**
+ 8+ years of analytics experience , prior experience in Fraud analytics preferrable
+ Advanced analytical and business strategy skills
+ Effective communication skills
+ Ability to present to business partners and/or leaders to gain approvals.
+ Project and process management skills
+ Excellent written and verbal communications skill
+ Experience with a prior focus in financial services analytics.
+ Solid organizational skills and ability to manage multiple projects at one time.
+ Self-starter who also has a demonstrated ability to work successfully in team environment and drive.
**Education:**
+ Bachelors/University degree or equivalent experience. Master's degree is preferable.
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Business Analysis
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Description

Summary:

The individual is expected to be hands-on with analysis on regular and / or ad hoc basis, extract different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance.

 Individual should be able to have a holistic view of different retail banking products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations.

Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable.

Experience in stakeholder management across various functions and regions. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and communicate clearly and effectively to business partners and senior leaders. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.

Presentation Skills : Delivering clean and clear presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management.

Project Management – Should have skillset to manage project in terms of creating project plan, assigning responsibilities amongst junior team members, and completion of projects in timely fashion and escalating managing and reporting control issues with transparency. Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in business solutions and/or modeling and implementing such solutions to create economic value.

The individual is expected to support regulatory/audit activities and /or other risk and control activities whenever needed.

Qualifications:

8+ years of analytics experience , prior experience in Fraud analytics preferrable

Advanced analytical and business strategy skills

Effective communication skills

Ability to present to business partners and/or leaders to gain approvals.

Project and process management skills

Excellent written and verbal communications skill

Experience with a prior focus in financial services analytics.

Solid organizational skills and ability to manage multiple projects at one time.

Self-starter who also has a demonstrated ability to work successfully in team environment and drive.

Education:

Bachelors/University degree or equivalent experience. Master’s degree is preferable.

---

Job Family Group:

Decision Management

---

Job Family:

Business Analysis

---

Time Type:

Full time

---

Most Relevant Skills

Please see the requirements listed above.

---

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

---

Description

Summary:

The individual is expected to be hands-on with analysis on regular and / or ad hoc basis, extract different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance.

 Individual should be able to have a holistic view of different Cards products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations.

Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable.

Experience in stakeholder management across various functions and regions. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and communicate clearly and effectively to business partners and senior leaders. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.

Presentation Skills : Delivering clean and clear presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management.

Project Management – Should have skillset to manage project in terms of creating project plan, assigning responsibilities amongst junior team members, and completion of projects in timely fashion and escalating managing and reporting control issues with transparency. Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in business solutions and/or modeling and implementing such solutions to create economic value.

The individual is expected to support regulatory/audit activities and /or other risk and control activities whenever needed.

Qualifications:

8+ years of analytics experience , prior experience in Fraud analytics preferrable

Advanced analytical and business strategy skills

Effective communication skills

Ability to present to business partners and/or leaders to gain approvals.

Project and process management skills

Excellent written and verbal communications skill

Experience with a prior focus in financial services analytics.

Solid organizational skills and ability to manage multiple projects at one time.

Self-starter who also has a demonstrated ability to work successfully in team environment and drive.

Education:

Bachelors/University degree or equivalent experience. Master’s degree is preferable.

---

Job Family Group:

Decision Management

---

Job Family:

Business Analysis

---

Time Type:

Full time

---

Most Relevant Skills

Please see the requirements listed above.

---

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

---

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows.

Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.

Assumes informal/formal leadership role through coaching and training of new recruits.

Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.

Mines and analyzes data from various banking platforms to drive optimization and improve data quality.

Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.

Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.

Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.

Leads system change process from requirements through implementation; provides user and operational support of application to business users

Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.

Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.

Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.

Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.

Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

5-8 years experience using tools for statistical modeling of large data sets

Ability to effectively use complex analytical, interpretive and problem solving techniques

Demonstratedinterpersonal, verbal and written communication skills

Education:

Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

---

Job Family Group:

Technology

---

Job Family:

Data Analytics

---

Time Type:

Full time

---

Most Relevant Skills

Please see the requirements listed above.

---

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

---

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows.

Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.

Assumes informal/formal leadership role through coaching and training of new recruits.

Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.

Mines and analyzes data from various banking platforms to drive optimization and improve data quality.

Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.

Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.

Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.

Leads system change process from requirements through implementation; provides user and operational support of application to business users

Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.

Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.

Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.

Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.

Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

5-8 years experience using tools for statistical modeling of large data sets

Ability to effectively use complex analytical, interpretive and problem solving techniques

Demonstratedinterpersonal, verbal and written communication skills

Education:

Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

---

Job Family Group:

Technology

---

Job Family:

Data Analytics

---

Time Type:

Full time

---

Most Relevant Skills

Please see the requirements listed above.

---

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

---

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows.

Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.

Assumes informal/formal leadership role through coaching and training of new recruits.

Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.

Mines and analyzes data from various banking platforms to drive optimization and improve data quality.

Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.

Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.

Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.

Leads system change process from requirements through implementation; provides user and operational support of application to business users

Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.

Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.

Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.

Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.

Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

5-8 years experience using tools for statistical modeling of large data sets

Ability to effectively use complex analytical, interpretive and problem solving techniques

Demonstratedinterpersonal, verbal and written communication skills

Education:

Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

---

Job Family Group:

Technology

---

Job Family:

Data Analytics

---

Time Type:

Full time

---

Most Relevant Skills

Please see the requirements listed above.

---

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

---

**What do we do?**
+ The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.
+ The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.
ROLE DESCRIPTION
+ The role will be Asst. Vice President (C12) in the TTS Analytics team
+ The role will report to the VP or SVP leading the team
+ The role will involve leading a team of data scientists and analysts
+ The role will involve leading a team of data scientists and analysts responsible for the full lifecycle of machine learning model development and deployment.
+ The role will involve working on multiple data science projects throughout the year on business problems across the client life cycle - acquisition, engagement, client experience and retention - for the TTS business.
+ This includes understanding business needs, designing, developing, and deploying machine learning models, and communicating insights and recommendations to stakeholders.
+ The candidate should demonstrate a strong understanding of machine learning principles, model development methodologies, and deployment strategies.
+ This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights and machine learning solutions to business and functional stakeholders.
QUALIFICATIONS
**Experience:**
+ Bachelor's Degree with 7-10 years of experience in data analytics, or Master's Degree with 6-10 years of experience in data analytics, or PhD.
+ Must have:
+ Marketing analytics experience
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Strong hands-on knowledge of Data Science and Machine Learning, including supervised learning algorithms (both Classification and Regression) such as Linear Regression, Random Forest, XGBoost, Support Vector Machines, etc., as well as unsupervised learning techniques (e.g., clustering, dimensionality reduction).
+ Experience building and deploying time series models for forecasting and anomaly detection.
+ Experience with unstructured data analysis, e.g., call transcripts, using Natural Language Processing (NLP)/Text Mining techniques.
+ Experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Good to have:
+ Experience in financial services
+ Deep learning experience; able to work with Neural Networks using TensorFlow and/or PyTorch.
+ Knowledge on working with GenAI and LLM
**Skills:**
**Analytical Skills:**
+ Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them
+ Strong logical reasoning and problem-solving ability
+ Proficient in converting business problems into analytical tasks, and analytical findings into business insights
+ Proficient in identifying trends and patterns with data
**Tools and Platforms:**
+ Proficient in Python/R, PySpark, SQL
+ Proficient with ML libraries such as Scikit-learn, TensorFlow and PyTorch
+ Proficient in MS Excel, PowerPoint
+ Good to have:
+ Experience with Tableau
+ Experience in Hive
**Soft Skills:**
+ Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations
+ Building and managing high performance teams
+ Ability to coach and mentor team members on an ongoing basis
+ Ability to drive ideation on analytical projects to tackle strategic business priorities
+ Comfort on working with ambiguity and open-ended questions
+ Strong process/project management skills
+ Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

The Business Analytics Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
**Responsibilities:**
+ Strong understanding of CARDS, RETAIL BANK and financial domains.
+ Strong understanding of compliance/regulatory requirements
+ Gathers operational data from various cross functional stakeholders to examine past business performance
+ Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
+ Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies
+ May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
+ Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
+ Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
+ Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
**Qualifications:**
+ 8+ years of experience
+ This position requires excellent analytical and business strategy skills
+ Effective communication skills
+ Ability to present to business partners and/or leaders to gain approvals
+ Project and process management skills
+ Excellent written and verbal communications skills
+ Experience with a prior focus in financial services analytics
+ Solid organizational skills and ability to manage multiple projects at one time
+ Self-starter who also has a demonstrated ability to work successfully in team environment and drive
+ Excellent data and technical skills with hands-on experience in Python, Pyspark and SQL
**Education:**
+ Bachelors/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Business Analysis
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.