Quant Model Risk Analyst

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

JPMorganChase in Bengaluru is seeking a Quant Model Risk Analyst to join the Model Risk Governance and Review team. You will assess and mitigate risks across Treasury models, credit risk, liquidity, stress testing and budgeting, collaborating with model developers and users to drive risk-aware decisions.

You will perform model reviews, guide usage, develop benchmarks, and communicate findings to cross-functional stakeholders in a fast-paced, results-oriented environment.

Qualifications

• Bachelor’s, Master’s or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics).
• 1–2 years of experience for Bachelor’s; 0–1 years for Master’s/PhD in a quantitative modelling or model validation role.
• Strong analytical problem‑solving skills and clear written/verbal communication, ability to articulate technical issues to diverse stakeholders and write high quality technical reports.
• Knowledge of financial products / markets and regulatory requirements.
• Risk- and control-oriented mindset: ability to ask incisive questions, assess the materiality of model issues, and escalation issues appropriately.
• Ability to work in a fast‑paced, results‑driven environment.
• Curious, ownership-driven, and teamwork-oriented mindset.
• Good Python coding skills.

Responsibilities

• Perform model reviews: evaluate the conceptual soundness of a model, assess its behavior under various market conditions and its suitability in the context of usage.
• Guide on model usage and act as the first point of contact for the business on all new models and changes to existing models.
• Develop and implement alternative model benchmarks and compare the outcome of various models. Design model performance metrics.
• Liaise with model developers, users, and compliance groups, and provide guidance on model risk.
• Evaluate model performance on a regular basis.

Skills

Analytical thinking

Communication

Quantitative modelling

Risk awareness

Fast-paced environment

Education

Bachelor’s/Master’s/PhD in quantitative field

Tools

Python

Job description

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you play a crucial role in maintaining JPMorganChase's strength and resilience. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Quant Model Risk Analyst in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with the models used by Treasury for resolution and recovery, Credit Risk, liquidity, stress testing and budgeting. You'll be at the forefront of innovation, driving continuous improvement in a dynamic and collaborative environment. This role also provides the opportunity to gain exposure to various business and functional areas, as well as to collaborate closely with model developers and users.

Job Responsibilities

• Perform model reviews: evaluate the conceptual soundness of a model, assess its behavior under various market conditions and its suitability in the context of usage.
• Guide on model usage and act as the first point of contact for the business on all new models and changes to existing models.
• Develop and implement alternative model benchmarks and compare the outcome of various models. Design model performance metrics.
• Liaise with model developers, users, and compliance groups, and provide guidance on model risk.
• Evaluate model performance on a regular basis.

Required Qualifications, Capabilities and Skills

• Education: Bachelor’s, Master’s or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics).
• Experience: Bachelor’s degree with 1–2 years, Master’s degree/PhD with 0–1 years of experience in a quantitative modelling or model validation role.
• Strong analytical problem‑solving skills and clear written/verbal communication, ability to articulate technical issues to diverse stakeholders and write high quality technical reports.
• Knowledge of financial products / markets and regulatory requirements.
• Risk- and control-oriented mindset: ability to ask incisive questions, assess the materiality of model issues, and escalation issues appropriately.
• Ability to work in a fast‑paced, results‑driven environment.
• Curious, ownership-driven, and teamwork-oriented mindset.
• Good Python coding skills.

Preferred qualifications, capabilities, and skills

The following additional items will be considered but are not required for this role:

• Experience with Treasury and Credit Risk Models

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.