JP Morgan Chase - Modelling Analyst - Model Risk Governance & Review (3-5 yrs)

MRGR Modelling Analyst - Mumbai

Job Description:

- 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 you will be a member of the Model Risk Governance and Review group in Mumbai covering Market Risk models where you will have exposure to multiple assets classes, advanced modelling methodologies as well as day-to-day interaction with Quantitative Research teams and other Risk Functions.

Your position will focus on the following activities:

Job responsibilities:

- Model validation of market risk models - Evaluate conceptual soundness of model specification, the appropriateness of the methodology for its intended purpose, reasonableness of assumptions and reliability of inputs, assessment of model limitations, completeness of testing performed to support the correctness of the implementation.

- Perform ongoing performance monitoring tests 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 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 Bachelor/Masters/PhD degree in Statistics, Mathematics, Engineering, Quant Finance , or similar.

- Strong quantitative, analytical, and problem-solving skills; domain expertise in market risk VaR models, derivatives pricing models; 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 escalate issue.

- Understanding of Market Risk BASEL/FRTB regulations.

Preferred qualifications, capabilities and skills:

- Knowledge and interest in Python programming.

- Understanding of finance industry, particularly in modeling - valuation, risk, capital, forecasting, investment management.

JP Morgan Chase, 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.

Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.