101 Banking Data jobs in India
QA-Core Banking(Data migration)
Posted today
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a QA-Core Banking(Data migration) to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).
**Job Title:** QA Data Migration - Core Banking (Transact)
**Job Description:** We are looking for a highly skilled Quality Analyst with expertise in the banking sector, specifically in Core Banking (Transact) along with migration experience. The successful candidate will be responsible for ensuring the quality and integrity of data during migration from legacy systems to new platforms.
Key Responsibilities:
+ Develop and execute test plans, test cases and test scripts to ensure data integrity, accuracy and completeness during migration.
+ Work across multiple functional projects to understand data usage and implications for data migration.
+ Identify, Document and track data quality issues and collaborate with cross functional teams to resolve them.
+ Validate data migrated to new systems, ensuring it meets business requirements and free from defects.
+ Identify, report and track defects found during testing and collaborate with development teams to resolve them.
Skills and Qualifications:
+ 8-10 years of overall experience with a minimum of 3+ years as Core banking QA.
+ Proven experience as a Quality Analyst in the banking sector.
+ In-depth knowledge of Core Banking Transact and migration processes.
+ Familiarity with agile methodologies and project management principles.
+ Strong analytical and problem-solving skills.
+ Excellent communication and interpersonal abilities.
+ Ability to work independently and as part of a team.
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
QA-Core Banking(Data migration)
Posted today
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a QA-Core Banking(Data migration) to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).
**Job Title:** QA Data Migration - Core Banking (Transact)
**Job Description:** We are looking for a highly skilled Quality Analyst with expertise in the banking sector, specifically in Core Banking (Transact) along with migration experience. The successful candidate will be responsible for ensuring the quality and integrity of data during migration from legacy systems to new platforms.
Key Responsibilities:
+ Develop and execute test plans, test cases and test scripts to ensure data integrity, accuracy and completeness during migration.
+ Work across multiple functional projects to understand data usage and implications for data migration.
+ Identify, Document and track data quality issues and collaborate with cross functional teams to resolve them.
+ Validate data migrated to new systems, ensuring it meets business requirements and free from defects.
+ Identify, report and track defects found during testing and collaborate with development teams to resolve them.
Skills and Qualifications:
+ 8-10 years of overall experience with a minimum of 3+ years as Core banking QA.
+ Proven experience as a Quality Analyst in the banking sector.
+ In-depth knowledge of Core Banking Transact and migration processes.
+ Familiarity with agile methodologies and project management principles.
+ Strong analytical and problem-solving skills.
+ Excellent communication and interpersonal abilities.
+ Ability to work independently and as part of a team.
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
Senior Financial Data Analyst
Posted 11 days ago
Job Viewed
Job Description
Key Responsibilities:
- Gather, clean, and transform large volumes of financial data from various sources.
- Perform in-depth financial analysis, including profitability analysis, cost analysis, and trend forecasting.
- Develop and maintain complex financial models to support business planning and strategic initiatives.
- Identify key performance indicators (KPIs) and develop dashboards and reports to track progress.
- Analyze financial statements and regulatory filings to extract critical information.
- Apply statistical techniques and machine learning algorithms to identify patterns and predict financial outcomes.
- Collaborate with stakeholders across different departments to understand their data needs and provide analytical support.
- Present findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Ensure data accuracy, integrity, and compliance with relevant financial regulations.
- Continuously explore and recommend new analytical methods and tools to improve data analysis capabilities.
- Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
- Minimum of 5 years of experience in financial analysis, data analysis, or a similar role, preferably within the banking or financial services sector.
- Proficiency in SQL for data extraction and manipulation.
- Advanced skills in Excel, including complex formulas, pivot tables, and VBA.
- Experience with statistical software or programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of financial principles, accounting, and banking operations.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to manage multiple projects simultaneously and meet deadlines in a remote setting.
- Exceptional communication and presentation skills.
Senior Financial Data Analyst
Posted 22 days ago
Job Viewed
Job Description
Responsibilities:
- Analyze large, complex financial datasets to identify trends, anomalies, and opportunities for optimization.
- Develop and maintain sophisticated financial models for forecasting, valuation, and risk assessment.
- Design and implement reports and dashboards to visualize key financial metrics and performance indicators.
- Conduct in-depth quantitative analysis to support strategic planning, budgeting, and investment decisions.
- Collaborate with business units to understand their financial needs and provide data-driven recommendations.
- Ensure data accuracy, integrity, and consistency across all financial reporting systems.
- Stay abreast of industry trends, regulatory changes, and economic factors impacting the financial sector.
- Utilize advanced statistical techniques and machine learning algorithms for predictive modeling.
- Present complex financial information clearly and concisely to both technical and non-technical audiences.
- Identify and implement process improvements for financial data analysis and reporting.
Qualifications:
- Master's or Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in financial analysis, data analytics, or a related role within the banking or finance industry.
- Proven expertise in financial modeling, forecasting, and valuation techniques.
- Strong proficiency in SQL, Python, or R for data manipulation and analysis.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- In-depth understanding of financial markets, instruments, and regulatory frameworks.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex information effectively.
- Experience working in a remote environment is preferred.
- CFA or other relevant financial certifications are a plus.
Remote Financial Data Analyst
Posted 22 days ago
Job Viewed
Job Description
Key Responsibilities:
- Collect, clean, and process large datasets from various financial sources.
- Perform in-depth financial analysis, including trend analysis, variance analysis, and forecasting.
- Develop and maintain financial models to support budgeting, forecasting, and strategic planning.
- Create clear, concise, and compelling reports and dashboards to communicate financial performance and insights to stakeholders.
- Identify key financial metrics and KPIs, and monitor their performance against targets.
- Collaborate with cross-functional teams to understand their data needs and provide analytical support.
- Identify opportunities for process improvements and automation in data analysis and reporting.
- Ensure data accuracy, integrity, and security throughout the analysis process.
- Conduct ad-hoc financial analysis and provide insights as required by management.
- Stay up-to-date with industry trends, financial software, and analytical techniques.
- Bachelor's or Master's degree in Finance, Accounting, Economics, Statistics, Mathematics, or a related quantitative field.
- Minimum of 3-5 years of experience in financial analysis, data analysis, or a similar role.
- Strong proficiency in Microsoft Excel, including advanced formulas, pivot tables, and data analysis tools.
- Experience with financial modeling and forecasting techniques.
- Familiarity with accounting principles and financial statements.
- Proficiency in data visualization tools such as Tableau, Power BI, or similar.
- Experience with SQL or other database querying languages is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Ability to work independently and manage time effectively in a remote environment.
- Attention to detail and a commitment to accuracy.
Senior Financial Data Analyst
Posted 22 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, clean, and organize large financial datasets from various sources.
- Perform in-depth financial analysis to identify trends, anomalies, and opportunities.
- Develop and maintain financial models for forecasting, budgeting, and scenario planning.
- Prepare and present detailed financial reports and dashboards to management.
- Collaborate with business units to gather financial requirements and provide data support.
- Identify key performance indicators (KPIs) and track progress against financial goals.
- Conduct variance analysis and provide explanations for deviations.
- Recommend process improvements to enhance data accuracy and reporting efficiency.
- Ensure compliance with accounting standards and internal controls.
- Stay updated on financial reporting tools and data analysis techniques.
Qualifications:
- Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field.
- 5+ years of experience in financial analysis, accounting, or a related role.
- Proven experience with financial modeling, forecasting, and data analysis.
- Proficiency in data analysis tools such as Excel, SQL, Python, or R.
- Experience with business intelligence tools (e.g., Tableau, Power BI).
- Strong understanding of accounting principles and financial reporting.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills.
- Ability to work independently and as part of a team.
- Prior experience in Noida, Uttar Pradesh, IN or nearby areas is preferred.
Senior Financial Data Analyst
Posted 22 days ago
Job Viewed
Job Description
Responsibilities:
- Analyze financial data from various sources to identify trends, patterns, and anomalies.
- Develop financial models for forecasting, budgeting, and scenario analysis.
- Prepare comprehensive financial reports and presentations for senior management and stakeholders.
- Monitor key financial performance indicators (KPIs) and provide insights into performance deviations.
- Collaborate with accounting teams to ensure data accuracy and integrity.
- Identify opportunities for process improvements in financial data collection, analysis, and reporting.
- Develop dashboards and visualizations to communicate financial insights effectively.
- Conduct variance analysis and explain discrepancies between actual results and budgets/forecasts.
- Assist in the preparation of regulatory filings and compliance reports.
- Stay abreast of accounting standards, financial regulations, and industry best practices.
- Utilize advanced Excel functions, SQL, and data visualization tools (e.g., Tableau, Power BI) for data analysis.
- Work independently and effectively manage multiple projects in a remote work environment.
Qualifications:
- Bachelor's degree in Accounting, Finance, Economics, or a related quantitative field. A Master's degree or professional certification (e.g., CFA, CPA) is a strong plus.
- Minimum of 5 years of experience in financial analysis, accounting, or a related role.
- Proven expertise in financial modeling, forecasting, and variance analysis.
- Strong proficiency in Microsoft Excel, including advanced functions, pivot tables, and VBA.
- Experience with SQL for data extraction and manipulation.
- Familiarity with data visualization tools like Tableau or Power BI.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong understanding of accounting principles and financial statements.
- Exceptional communication and presentation skills, with the ability to explain complex financial concepts clearly.
- Ability to work autonomously and manage deadlines effectively in a remote setting.
- Experience with accounting software (e.g., SAP, QuickBooks) is beneficial.
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Senior Data Scientist - Banking
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement sophisticated machine learning models and statistical analyses to address business challenges.
- Extract, clean, and transform large, complex datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and opportunities.
- Develop and deploy predictive models for forecasting, customer segmentation, churn prediction, and risk assessment.
- Collaborate closely with business stakeholders to understand their needs and translate them into data science solutions.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Stay abreast of the latest advancements in data science, machine learning, and AI.
- Mentor junior data scientists and contribute to the team's technical growth.
- Evaluate and recommend new tools and technologies to enhance data science capabilities.
- Ensure the quality, integrity, and ethical use of data in all analytical projects.
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- 5+ years of hands-on experience in data science, machine learning, and statistical modeling.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
- Strong experience with SQL and working with relational databases.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
- Proven ability to translate business problems into analytical frameworks.
- Excellent data visualization skills to present findings effectively.
- Strong problem-solving abilities and a detail-oriented approach.
- Effective communication and presentation skills.
- Prior experience in the banking or financial services industry is highly preferred.
Senior Data Scientist (Banking)
Posted 21 days ago
Job Viewed
Job Description
Responsibilities:
- Develop and deploy advanced statistical and machine learning models.
- Analyze large, complex datasets to extract actionable insights.
- Identify key business problems and formulate data science approaches to solve them.
- Collaborate with business units to understand requirements and deliver data-driven solutions.
- Design experiments and evaluate model performance.
- Communicate complex analytical findings to technical and non-technical audiences.
- Mentor junior data scientists and contribute to team knowledge sharing.
- Stay current with the latest advancements in data science and machine learning.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in data science or a similar analytical role, preferably within the banking or financial services industry.
- Proficiency in programming languages such as Python or R, and SQL.
- Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, data mining, and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and communication skills.
Remote Senior Financial Data Analyst
Posted 4 days ago
Job Viewed