Model Risk Governance and Review Associate

Location: Bengaluru, Karnataka, India

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are seeking a Model Risk Governance and Review Associate to join our Predictive Science team in Bengaluru, Karnataka, India. This role offers a unique opportunity to impact your career while pushing the boundaries of innovation in financial modeling. As a global leader in financial services, JP Morgan Chase relies on robust model risk management to support our diverse lines of business, including investment banking, consumer banking, and asset management. In this position, you will play a critical role in ensuring the integrity and reliability of predictive models that drive risk decisions, helping to safeguard the firm against potential financial exposures in a dynamic regulatory landscape. Your primary focus will be on conducting thorough reviews and validations of models used for credit scoring, market risk forecasting, and operational analytics. You will evaluate model methodologies, test assumptions, and assess performance metrics to identify weaknesses and propose enhancements, all while adhering to stringent internal policies and regulations like SR 11-7 and Basel III. Collaborating with cross-functional teams of quants, risk managers, and business leaders, you will contribute to the firm's Model Risk Management framework, ensuring models are not only accurate but also ethically sound and compliant with global standards. This hands-on role involves analyzing complex datasets, documenting findings in clear reports, and recommending governance improvements to mitigate risks across JP Morgan's vast operations. We value associates who thrive in a collaborative, high-stakes environment and are passionate about leveraging data science for real-world financial impact. This position provides exposure to cutting-edge predictive technologies and the chance to grow within one of the world's most respected financial institutions. If you have a strong quantitative background and a commitment to excellence in risk governance, join us to embark on an adventure that challenges and rewards your expertise.

Key Responsibilities

• Conduct independent reviews and validations of predictive models used in credit, market, and operational risk across JP Morgan Chase's lines of business
• Assess model assumptions, methodologies, and performance to ensure compliance with internal governance standards and regulatory requirements
• Collaborate with model developers and business units to identify and mitigate model risks, providing actionable recommendations
• Prepare comprehensive documentation and reports on model risk findings for senior management and regulatory submissions
• Monitor ongoing model performance and recommend adjustments or enhancements as needed
• Support the development and maintenance of model risk policies and procedures within the firm's Model Risk Management framework
• Participate in cross-functional projects involving advanced analytics and predictive science initiatives
• Ensure adherence to JP Morgan's ethical standards and data privacy regulations in all model governance activities
• Contribute to training and knowledge-sharing sessions on model risk best practices for team members

Required Qualifications

• Bachelor's degree in Finance, Mathematics, Statistics, Economics, or a related quantitative field
• Minimum of 2-3 years of experience in model risk management, validation, or governance within the financial services industry
• Strong understanding of regulatory frameworks such as SR 11-7, OCC guidelines, and Basel III requirements for model risk
• Proficiency in statistical modeling techniques and risk assessment methodologies
• Experience with data analysis tools and programming languages used in financial modeling
• Ability to work collaboratively in a fast-paced, global team environment
• Excellent written and verbal communication skills for reporting to senior stakeholders

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Certification in financial risk management (e.g., FRM or PRM)
• Prior experience at a major financial institution like JP Morgan Chase
• Knowledge of machine learning applications in credit and market risk modeling
• Familiarity with JP Morgan's internal model governance policies

Required Skills

• Statistical analysis and modeling (e.g., regression, time-series forecasting)
• Proficiency in Python, R, or SAS for data manipulation and model validation
• Knowledge of SQL for querying large financial datasets
• Understanding of machine learning algorithms and their application in risk models
• Risk assessment and quantitative analysis techniques
• Regulatory compliance and reporting skills
• Strong analytical and problem-solving abilities
• Attention to detail in reviewing complex model documentation
• Effective communication for presenting technical findings to non-technical audiences
• Project management and organizational skills
• Team collaboration and interpersonal skills
• Adaptability to evolving financial regulations and technologies
• Proficiency in Microsoft Excel and visualization tools like Tableau
• Ethical judgment in handling sensitive financial data

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 relevant certifications
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at JP Morgan Chase offices
• Global mobility opportunities and career advancement support within the firm

JP Morgan Chase is an equal opportunity employer.