67 Statistical Analysis jobs in Bengaluru

Calling all innovators – find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title
Specialist, Statistical Analysis

What does a successful Specialist, Statistical Analysis do at Fiserv?
Fiserv is looking for a talented specialist who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.

What You Will Do

• Drive new business engagements with clients and grow existing client engagements.
• Liaison with the client to understand business problem, processes, and implementation challenge.
• Leverage data to analyze the business unit function, identify the business drivers and recommend strategy and future course of actions.
• Manage end to end delivery including requirement gathering, solution design and business recommendation. Work closely with statisticians to develop solution framework - Identify statistical techniques, implementation mechanism, tracking campaigns and pilots.
• Conceptualize modeling framework, define data requirement, create predictive variables and co-ordinate model implementation with other business partners, and create experimental designs to understand drivers of business performance.
• Should have domain expertise in the banking and risk domain to shape the solution framework and developing business strategies to drive incremental value to the business.
• Should have expertise in advanced statistical techniques to validate the model outcomes generated by the statisticians and align it with the business needs and implementation plan.
• Develop analytics proof of concepts on emerging trends in banking areas to develop new analytical products for Fiserv.
• Collaborate with the model development team to provide feedback and recommendations for model improvements based on validation results.
• Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.

What You Will Need To Have

• Bachelor's degree in Statistics/mathematics or equivalent qualification.
• 5-8 years of experience in solving business problems by applying advanced statistics.
• Expertise in developing business presentations.
• Strong analytical and problem-solving skills.
• Excellent communication skills, both verbal and written.

What Would Be Great To Have

• Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding hypothesis testing, and validation methodologies.
• Experience with data manipulation, feature engineering, and data preprocessing techniques.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
• Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.

Thank You For Considering Employment With Fiserv. Please

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our Commitment To Diversity And Inclusion
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

Note To Agencies
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning About Fake Job Posts
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Calling all innovators – find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Professional, Statistical Analysis

Requirements:

• Necessary- Cash Advance/ banking/ Lending business understanding.
• Necessary- Knowledge of market base sizing and portfolio analytics.
• Data Analytics and univariate analytics using Excel, Python.
• A/b testing of prices & strategies, elasticity of demand.
• Good to have- understanding of marketing campaign framework and executions.
• Eagerness to learn new software (like Palantir, Snowflake)
• Excellent communication & Interpersonal skills.

Role & Responsibilities:

• Portfolio Monitoring & reporting.
• Analysis of total addressable market (TAM) and scope analysis.
• Enhancing business rule engine and optimization of credit risk pipeline.
• Ad hoc Campaign analysis and execution on need basis.
• Conduct A/B price testing.
• Maintain elaborate analysis and process documentation, update trackers.
• Work closely with business/product team understand their need and provide the solutions.
• Oversee technical pipeline upgrades by communicating requirements to DevOps team and validating outcomes.
• Publish weekly MIS for Stakeholders summarizing current status of capabilities.

Technical Skills:

• MS Excel (Must Have)
• MS Powerpoint
• SQL
• Python
• PySpark (Good to have)
• PowerBI (Good to have)

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

Responsibilities

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

What does a successful Specialist, Statistical Analysis do at Fiserv?

Fiserv is looking for a talented specialist who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.

What you will do:

What you will need to have:

What would be great to have:

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

Responsibilities

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Requirements:

Role & Responsibilities:

Technical Skills:

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.

Technical Requirements:

Strong proficiency in Python for data processing and automation.

Handson experience with generative AI models and their integration into data workflows.

Handson experience with prompt engineering and LLM models (Opensource and Closesource)

Handson experience with Application development framework like LangChain, LangGraph etc.

Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.

Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

As a Data Analysis & Simulation Professional, the person will be responsible for:

Data Pipeline Development:

Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.

Generative AI Integration:

Collaborate with data scientists to integrate generative AI models into the log analysis workflow.

Develop APIs and services to deploy AI models for real-time log analysis and insights generation.

Data Monitoring and Maintenance:

Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.

Troubleshoot and resolve issues related to data ingestion, processing, and storage.

Collaboration and Documentation:

Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.

Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.

Evaluation and Testing:

Conduct thorough testing and validation of generative models.

Research and Innovation:

Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.

Experiment with different architectures and approaches.

Snowflake Utilization: (Good to have)

Design and optimize data storage and retrieval strategies using Snowflake.

Implement data modeling, partitioning, and indexing strategies to enhance query performance.

We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.

Technical Requirements:

Strong proficiency in Python for data processing and automation.

Handson experience with generative AI models and their integration into data workflows.

Handson experience with prompt engineering and LLM models (Opensource and Closesource)

Handson experience with Application development framework like LangChain, LangGraph etc.

Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.

Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

As a Data Analysis & Simulation Professional, the person will be responsible for:

Data Pipeline Development:

Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.

Generative AI Integration:

Collaborate with data scientists to integrate generative AI models into the log analysis workflow.

Develop APIs and services to deploy AI models for real-time log analysis and insights generation.

Data Monitoring and Maintenance:

Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.

Troubleshoot and resolve issues related to data ingestion, processing, and storage.

Collaboration and Documentation:

Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.

Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.

Evaluation and Testing:

Conduct thorough testing and validation of generative models.

Research and Innovation:

Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.

Experiment with different architectures and approaches.

Snowflake Utilization: (Good to have)

Design and optimize data storage and retrieval strategies using Snowflake.

Implement data modeling, partitioning, and indexing strategies to enhance query performance.

Job Description:

We are looking for a skilled HR manager to oversee all aspects of Human Resources practices and processes. You will support business needs and ensure the proper implementation of company strategy and objectives. The goal is to promote corporate values and enable business success through human resources management, including job design, recruitment, performance management, training & development, employment cycle changes, talent management, and facilities management services.

Responsibilities:

• Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
• Maintains the work structure by updating job requirements and job descriptions for all positions.
• Supports organization staff by establishing and interviewing program; counselling managers on candidate selection; conducting and analyzing exit interviews; and recommending changes.
• Prepares employees for assignments by establishing and conducting orientation and training programs.
• Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
• Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
• Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
• Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.