Risk Specialist, Associate

Deutsche Bank; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Deutsche Bank in Mumbai seeks a Risk Specialist to manage market risk processes, perform RTB tasks, and ensure accurate data for VaR/SVaR calculations. You will coordinate with risk and IT teams to implement new data requirements and regulatory changes.

The role emphasizes strong Python programming, knowledge of vanilla derivatives, and data governance across global markets. A background in investment banking risk with production experience is essential.

Qualifications

• 5 to 8 years of experience in investment banking or market risk in controlled production environments.
• Good knowledge of financial instruments and understanding pricing of vanilla derivatives across asset classes.
• Strong understanding of global markets and ability to connect macro events with risk data.

Responsibilities

• Apply expertise to perform RTB tasks such as VaR/SVaR impact analysis for various scenarios.
• Conduct data quality checks to ensure EOD data/time series accuracy for risk calculations.
• Manage weekly market data releases within SLAs for VaR/SVaR/FRTB/Economic Capital calculations.
• Analyze time-series changes on group VaR and communicate findings to stakeholders.
• Coordinate with Market risk managers, FO quant, change teams and methodology on data challenges and new regulations like FRTB/IHC.
• Participate in proxy decision making and select appropriate proxies for time series.
• Perform stressed-period selection and analyze results for accuracy and reliability.
• Assist in specifying requirements and testing for new data processes with Risk-IT and Strats.

Skills

Python

Market Risk

VaR/SVaR

Stressed Analysis

Education

Bachelor's degree in finance

Finance-related certification (FRM welcomed)

Tools

Bloomberg

Reuters

Markit

Job description

Job Summary

Job Title- Risk Specialist, AS

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

• 5 to 8 years of 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.