Advanced Risk Analyst

3 days ago

Pune, Maharashtra, India beBeeRiskAnalyst Full time

**Job Overview**

Market Valuation and Risk Management (MVRM) is responsible for managing market risk to ensure fair value assessment of Books & Records. The primary market risk objective is to optimize the risk-reward relationship and prevent exposure to unacceptable losses.

Market Data Strategy and Analytics (MDSA) is a function within MVRM that procures, analyzes, and governs historical market data used in key risk metrics. This includes Value at Risk, Economic Capital, Credit Counterparty Risk, and Portfolio Stress Test.

**Key Responsibilities**

Applying experience and subject matter expertise to perform tasks such as VaR/SVaR impact analysis, continuous improvement of processes, and coordination of changes in market data.

Performing data quality checks to ensure completeness and accuracy of EOD data/time series for risk calculations.

Taking part in weekly Scenario Set generation for VaR/SVaR/Economic capital calculation and ensuring timely release of scenario sets.

Analyzing impacts of time-series changes on group level VaR/SVaR and communicating/ coordinating effectively with wider audiences.

Liaising with Market risk managers, FO quant, change teams, and Methodology to perform deep dives on data challenges in new market risk models/methodology changes/RNIV and implementation of new regulations.

Actively participating in proxy decision making and proposing appropriate proxy choices for a time-series.

Performing Stressed-period-selection and analyzing results for accuracy and reliability.

Helping specify requirements and test functionality for new feed set up, processes, and coordinating with Risk-IT for seamless implementation of new data requirements and process enhancements.

**Requirements and Qualifications**

3-5 years experience in investment banking, Market Risk, specifically in controlled production environments.

Good knowledge of financial instruments and markets across all asset classes.

Strong analytical skills with basic knowledge of Numerical techniques and applied econometrics.

Basic knowledge of Derivatives Pricing & Risk calculation, VaR, PFE.

Hands-on experience of using external data sources such as Bloomberg, MarkIT & Reuters.

Basic knowledge in Web-based technology will be a plus.

Programming skills in at least one of C/C++, Java, Python, MatLab etc will be a plus.

**Education and Certification**

Engineering or bachelors degree in finance from an accredited college or university with excellent project experience and grades in quantitative and numerical coursework.

Certification in Financial Risk Management will be a plus.

**Benefits**

Training and development to help you excel in your career.

Coaching and support from experts in your team.

A culture of continuous learning to aid progression.

A range of flexible benefits that you can tailor to suit your needs.

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