Risk Analyst, NCT

Job Title- Risk Analyst, NCT

Location- Mumbai, India

Role Description

• Market Valuation and Risk Management (MVRM) is responsible for managing market risk and ensuring fair value assessment of Books & Records within Deutsche Bank. The primary market risk objective is to ensure that business units of the bank optimize the risk-reward relationship and do not expose it to unacceptable losses. We work closely with risk takers, risk managers and control and support groups in the process to ensure these objectives can be met.
• Market Data Strategy and Analytics (MDSA) is a function within MVRM that is responsible and accountable for the procurement, analysis and governance of historical market data used as inputs in the key risk metric (eg Value at Risk, Economic Capital, Credit Counterparty Risk, Portfolio Stress Test).

Your key responsibilities

• Applying experience and subject matter expertise to perform RTB tasks such as VaR/SVaR impact analysis for both Hist Sim Sensi Based and Hist Sim Full Reval, continuous improvement of processes and coordination of changes in market data.
• Perform data quality checks to ensure the completeness and accuracy of EOD data / time series are at par to use for risk calculations.
• Manage weekly market data releases within SLAs for VaR/SVaR/FRTB/Economic capital calculation and ensure timely escalation.
• Analyzing impacts of time-series changes on group level VaR and ability to communicate/coordinate effectively to stakeholders.
• 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 such as FRTB and IHC examination.
• Actively take apart in proxy decision making and come up with appropriate proxy choices for a time- series.
• Perform Stressed-period-selection and analyze results for accuracy and reliability.
• Help specify requirements and test functionality for new implementation and ability to coordinate with Risk-IT and Strats for seamless implementation of new data requirements and process enhancements.

Your skills and experience

• Experience in investment banking, Market Risk, specifically in controlled production environments.
• Good knowledge of financial instruments and understanding pricing of vanilla derivatives across all asset classes
• Strong understanding of global markets across asset classes and ability to connect macroeconomic events with impact to various market data points
• Demonstrated excellence in production activities for a financial institution with a strong control culture
• Experience of change management and implementation of new production processes
• Hands-on experience of using external data sources such as - Bloomberg, MarkIT & Reuters.
• Programming skills in Python is a must

Education | Certification (Recommended):

• Engineering or bachelor s 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.

Business Competencies:

• Communication - Experienced
• Industry Knowledge - Experienced
• Risk Management - Basic
• Innovation - Basic
• Managing Complexity - Basic

Technical Competencies:

• Risk Management - Experienced
• Financial Product Knowledge - Experienced

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

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