Payments - Analytics & Reporting- Data Scientist Associate

Location: Mumbai, Maharashtra, India

Job Family: Predictive Science

About the Role

At JP Morgan Chase, our Business Analytics division is at the forefront of transforming data into strategic advantages, particularly within the dynamic Payments organization. As a Data Scientist Associate in the Payments - Analytics & Reporting team, you will play a pivotal role in leveraging predictive science to optimize global payment systems, detect anomalies in transaction flows, and drive informed decision-making for one of the world's largest financial institutions. Based in our Mumbai office, this position offers the opportunity to contribute to innovative solutions that handle trillions in daily transactions, ensuring efficiency, security, and compliance in a rapidly evolving fintech landscape. You will work closely with data engineers, product managers, and risk analysts to harness cutting-edge analytics, fostering a culture of data-driven excellence that aligns with JP Morgan's commitment to client-centric innovation. In this role, your expertise in machine learning and statistical modeling will be essential for developing robust predictive models that forecast payment behaviors, mitigate fraud risks, and enhance reporting accuracy. You will dive into vast datasets from diverse sources, including real-time transaction logs and historical financial records, using tools like Python and SQL to uncover patterns that inform business strategies. Responsibilities extend to creating intuitive dashboards and reports that translate complex insights into actionable recommendations, supporting JP Morgan's Payments division in maintaining its leadership in cross-border and domestic payment processing. This position demands a blend of technical proficiency and business acumen, as you collaborate with global teams to integrate analytics into operational workflows, ultimately contributing to revenue growth and risk reduction. Joining JP Morgan Chase means becoming part of a prestigious organization renowned for its stability and forward-thinking approach to technology in finance. We value diverse perspectives and provide a supportive environment where your contributions can have a tangible impact on millions of customers worldwide. This role not only offers professional growth through exposure to advanced predictive technologies but also aligns with our mission to champion ethical data use and innovation in the financial services industry, positioning you for long-term success within our expansive network.

Key Responsibilities

• Develop and implement predictive models to analyze payment trends, fraud detection, and transaction volumes within JP Morgan Chase's global payments network
• Extract, clean, and analyze large-scale financial datasets using SQL, Python, and machine learning frameworks to support business decision-making
• Create comprehensive reports and dashboards that provide insights into payments performance, risk metrics, and operational efficiency
• Collaborate with cross-functional teams in Business Analytics to integrate data-driven recommendations into payments strategies
• Monitor and optimize data pipelines for real-time analytics, ensuring accuracy and scalability in high-volume transaction environments
• Conduct A/B testing and experimentation to evaluate the impact of new analytics tools on payment processing outcomes
• Stay abreast of industry trends in predictive science and apply emerging technologies to enhance JP Morgan's payments analytics capabilities
• Support regulatory reporting by generating data insights compliant with financial standards and internal governance
• Mentor junior analysts and contribute to the division's knowledge-sharing initiatives on data best practices

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; Master's degree preferred
• 3-5 years of experience in data science, analytics, or a similar role within the financial services industry
• Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
• Strong understanding of machine learning algorithms and statistical modeling techniques
• Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure, or GCP)
• Demonstrated ability to work with large datasets and derive actionable insights in a fast-paced environment
• Excellent communication skills to present complex data findings to non-technical stakeholders

Preferred Qualifications

• Advanced degree (Master's or PhD) in Data Science, Machine Learning, or a related field
• Prior experience in payments processing, transaction analytics, or financial reporting at a major bank
• Familiarity with regulatory compliance in financial services, such as PCI DSS or AML standards
• Certification in data science (e.g., Google Data Analytics, AWS Certified Machine Learning)
• Experience using visualization tools like Tableau or Power BI for reporting in fintech environments

Required Skills

• Python programming for data analysis and model development
• SQL for querying large financial databases
• Machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch
• Statistical analysis and hypothesis testing
• Big data tools such as Apache Spark or Hadoop
• Data visualization with Tableau, Power BI, or Matplotlib
• Financial domain knowledge in payments and transactions
• Problem-solving and critical thinking in complex datasets
• Communication and presentation skills for stakeholder engagement
• Time management in deadline-driven environments
• Team collaboration across multidisciplinary groups
• Regulatory awareness in banking and fintech
• Cloud computing experience (AWS, Azure)
• Version control with Git for code management
• Ethical data handling and privacy compliance

Benefits

• Competitive base salary and performance-based annual bonuses aligned with JP Morgan's financial success
• Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
• Retirement savings plan with generous company matching contributions to support long-term financial security
• Paid time off including vacation, sick leave, and parental leave policies
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee wellness programs featuring gym memberships, mental health resources, and fitness challenges
• Global mobility options with potential for international assignments within JP Morgan's network
• Stock purchase plan allowing participation in company equity for financial growth

JP Morgan Chase is an equal opportunity employer.