Quantitative Model Risk Analyst - Counterparty Credit Risk

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

JP Morgan Services India Pvt Ltd in Bengaluru is seeking a Quant Model Risk Analyst/Associate to join the Model Risk Governance and Review group. You will validate models across Counterparty Credit Risk and related areas, interacting with quantitative research, risk and trading teams.

A strong math background and programming interest are essential. The role emphasizes model validation, performance monitoring, governance and cross-functional collaboration to ensure robust risk models and clear

Qualifications

• Bachelors in Mathematics/Science/Engineering/Statistics/Quant Finance or similar.
• Strong quantitative, analytical and problem-solving skills with knowledge of probability, statistics, econometrics and stochastic calculus.
• Excellent communication, multi-tasking and independent working abilities with risk awareness.

Responsibilities

• Model validation of trading models/pricers for XVA, exposure and regulatory stress testing.
• Assess conceptual soundness, methodology suitability, and input reliability.
• Evaluate testing completeness to ensure correct implementation.
• Perform ongoing monitoring and back-testing to ensure models stay fit for purpose.
• Support model governance, inventory and policy development; assist in governance improvements.
• Collaborate with developers, trading desks and controls to ensure transparency on model controls and performance.

Skills

Quantitative analysis

Python

Education

Bachelor's degree

Job description

Quant Model Risk Analyst/Associate - Counterparty Credit Risk

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As part of the firm’s model risk management function, the Model Risk Governance and Review group is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model’s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations. As a Quant Modelling Analyst/Associate you will be a member of the Model Risk Governance and Review group in Bengaluru covering Counterparty Credit Risk models where you will have exposure to multiple assets classes, collateral modelling, advanced modelling methodologies as wells as day-to-day interaction with Quantitative Research teams, Risk functions and trading desks. Your position will focus on the following activities:

Job responsibilities:

• Model validation of trading models/pricers used in XVA, Counterparty Credit Exposure and IMM/Capital calculations and regulatory stress testing.
• Perform assessments of the conceptual soundness of model specification, the appropriateness of the methodology for its intended purpose, reasonableness of assumptions and reliability of inputs and assessment of model limitations
• Assess completeness of testing performed to support the correctness of the implementation
• Perform ongoing performance monitoring tests and regulatory/non-regulatory back testing to ascertain that models are relevant and fit for purpose.
• Assist with model governance processes, model inventory and issue management and help to devise new model governance policies as and when required.
• Work closely with model developers, trading desks, and controls functions across the firm to understand methodology, usage and establish transparency around model controls, model limitations and performance

Required qualifications, capabilities, and skills:

• Quantitative background with at least a bachelors degree in Mathematics, Science, Engineering, Statistics, Quant Finance, or similar.
• Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods and stochastic calculus.
• Strong communication and interpersonal skills; ability to multi-task and meet deadlines Ability to work independently, with remote supervision Risk and control mindset: ability to ask incisive questions, assess materiality and accelerate issue

Preferred qualifications, capabilities, and skills:

• Knowledge and interest in Python programming
• Understanding of finance industry, particularly in modeling- valuation, risk, capital, forecasting, investment management 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.

Experience Level Mid Level