Quant Analytics Associate

Location: Hyderabad, Telangana, India

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are at the forefront of redefining the future of financial services through innovative analytics and technology. The Quant Analytics Associate role within the Business Banking D&A Business Analytics and Technology (BAT) team in Hyderabad, India, offers an exciting opportunity to leverage quantitative expertise in a dynamic environment. As a key contributor to our Business Banking division, you will apply advanced analytical techniques to support data-driven decisions that enhance client services, manage risks, and drive business growth. This position is ideal for professionals passionate about the intersection of finance, data science, and technology, working on real-world challenges that impact millions of customers globally. In this role, you will develop sophisticated quantitative models to analyze business banking portfolios, predict credit risks, and optimize lending strategies. Collaborating closely with data engineers, product managers, and senior executives, you will transform complex datasets into actionable insights using tools like Python, SQL, and machine learning frameworks. Your work will directly contribute to JP Morgan Chase's commitment to excellence in risk management and regulatory compliance, ensuring our solutions align with industry standards such as Basel III. The Hyderabad office, a hub for our Asia-Pacific analytics operations, provides a vibrant, inclusive culture with access to cutting-edge resources and global projects. We value innovation and continuous learning, offering robust professional development to help you advance your career at one of the world's leading financial institutions. Join us to make a meaningful impact on business banking analytics while benefiting from a supportive team and comprehensive rewards. If you thrive in a high-impact role that combines technical depth with strategic influence, this position at JP Morgan Chase is your next step toward professional excellence.

Key Responsibilities

• Develop and maintain quantitative models for business banking analytics, including credit risk assessment and portfolio optimization
• Analyze large datasets to derive insights that support strategic decision-making in the Business Banking division
• Collaborate with cross-functional teams, including data scientists, business analysts, and stakeholders, to deliver actionable analytics solutions
• Perform statistical analysis and forecasting to evaluate business performance and identify trends
• Support the implementation of advanced analytics tools and methodologies within the D&A BAT team
• Conduct ad-hoc quantitative research to address emerging business challenges in the financial services landscape
• Ensure data integrity and compliance with JP Morgan Chase's risk management and regulatory standards
• Communicate complex analytical findings through reports, dashboards, and presentations to senior leadership
• Contribute to the continuous improvement of analytics processes and tools for enhanced efficiency
• Monitor and validate model performance, making adjustments as needed based on market changes

Required Qualifications

• Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; Master's degree preferred
• 2-4 years of experience in quantitative analytics, data analysis, or financial modeling within the banking or financial services sector
• Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
• Strong understanding of financial instruments, risk management, and business banking products
• Experience with data visualization tools like Tableau or Power BI
• Ability to work in a fast-paced, collaborative team environment
• Excellent analytical and problem-solving skills with attention to detail

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Prior experience at a major financial institution like JP Morgan Chase
• Knowledge of machine learning techniques applied to financial data
• Familiarity with regulatory requirements in business banking (e.g., Basel III, IFRS 9)
• Experience with big data technologies such as Hadoop or Spark

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, R, or SQL
• Data visualization with Tableau or Power BI
• Financial risk assessment and modeling
• Machine learning and predictive analytics
• Big data handling with tools like Hadoop or Spark
• Problem-solving and critical thinking
• Strong communication and presentation skills
• Attention to detail and accuracy in data handling
• Team collaboration and stakeholder management
• Knowledge of financial regulations and compliance
• Excel advanced functions and VBA scripting
• Time management in a deadline-driven environment
• Adaptability to evolving financial technologies
• Ethical judgment in handling sensitive financial data

Benefits

• Competitive base salary and performance-based bonuses aligned with JP Morgan Chase's compensation philosophy
• Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
• Retirement savings plan with generous company matching contributions
• Paid time off, including vacation, sick leave, and parental leave policies
• Professional development opportunities through internal training programs and tuition reimbursement
• Employee wellness programs, including gym memberships and mental health support
• Flexible work arrangements, including hybrid options in Hyderabad
• Global mobility and career advancement paths within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.