CCB Risk Forecasting Transformation

Location: Bengaluru, Karnataka, India

Job Family: Risk Analytics/Modeling

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a strong commitment to innovation in risk management. The CCB Risk Forecasting Transformation role within our Consumer & Community Banking division in Bengaluru, India, offers an exciting opportunity for a dynamic associate to spearhead the modernization of credit forecasting processes. As part of this initiative, you will play a pivotal role in optimizing models that predict credit losses, ensuring they align with evolving regulatory landscapes like Basel III and support our clients' financial well-being. This position is ideal for professionals passionate about leveraging analytics to drive business resilience in a competitive banking environment. In this role, you will collaborate with risk analysts, data scientists, and business leaders to identify gaps in current forecasting methodologies and implement cutting-edge solutions. Responsibilities include developing advanced statistical and machine learning models using tools like Python and SQL, automating workflows to reduce manual interventions, and providing actionable insights that inform strategic decisions across CCB. You will also ensure all transformations adhere to JP Morgan Chase's rigorous governance standards, contributing to the firm's reputation for robust risk practices. This hands-on position demands a blend of technical expertise and strategic thinking to transform complex data into reliable forecasts that safeguard our portfolio. Joining JP Morgan Chase means becoming part of a world-class team that values diversity, innovation, and professional growth. Based in our state-of-the-art Bengaluru office, you will have access to unparalleled resources for career development, including mentorship from industry leaders and exposure to global projects. We foster a collaborative culture where your contributions directly impact millions of customers, helping to build a more inclusive financial ecosystem. If you are ready to drive meaningful change in credit risk forecasting, apply today to elevate your career at one of the world's most admired financial institutions.

Key Responsibilities

• Lead the modernization of credit forecasting models and processes within JP Morgan Chase's Consumer & Community Banking (CCB) division
• Collaborate with cross-functional teams to identify inefficiencies in current forecasting workflows and propose data-driven optimizations
• Develop and implement advanced analytical models to enhance the accuracy and efficiency of credit risk predictions
• Ensure compliance with regulatory standards and internal risk management policies during transformation initiatives
• Analyze large-scale financial datasets to forecast credit losses and support strategic decision-making
• Drive the adoption of automation tools and technologies to streamline forecasting operations
• Monitor and report on key performance metrics for forecasting processes, providing insights to senior leadership
• Facilitate training and knowledge transfer to team members on updated forecasting methodologies
• Participate in risk governance forums to align transformation efforts with broader CCB objectives

Required Qualifications

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field
• Minimum of 3-5 years of experience in risk analytics, credit risk modeling, or forecasting within the financial services industry
• Strong proficiency in statistical modeling and data analysis techniques
• Experience with credit risk forecasting processes and regulatory requirements such as Basel III or IFRS 9
• Demonstrated ability to work with large datasets and perform advanced analytics
• Excellent communication skills with the ability to present complex findings to senior stakeholders

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Prior experience at a major financial institution like JP Morgan Chase in risk transformation projects
• Certification in financial risk management (e.g., FRM or CFA)
• Hands-on experience with machine learning applications in credit forecasting
• Knowledge of agile methodologies for process optimization

Required Skills

• Proficiency in Python or R for statistical modeling and data manipulation
• Expertise in SQL for querying large financial databases
• Knowledge of machine learning frameworks such as TensorFlow or Scikit-learn
• Strong understanding of credit risk metrics like PD, LGD, and EAD
• Experience with data visualization tools like Tableau or Power BI
• Analytical problem-solving and critical thinking abilities
• Project management skills for leading transformation initiatives
• Effective stakeholder communication and presentation skills
• Familiarity with cloud computing platforms like AWS or Azure
• Attention to detail in handling sensitive financial data
• Adaptability to fast-paced environments in financial services
• Team collaboration and leadership in cross-functional settings
• Regulatory knowledge specific to banking and credit risk
• Time management for meeting tight deadlines in forecasting cycles

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Retirement savings plan with generous company matching contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development programs and tuition reimbursement for advanced education
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at JP Morgan Chase facilities
• Global mobility opportunities and career advancement support within the firm

JP Morgan Chase is an equal opportunity employer.