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Assistant Manager – Data Science & Analytics in Gurugram, India – Leading risk testing frameworks and automating data quality.
Develop Python solutions on Quartz, manage large datasets, collaborate across Quant, Tech and Risk teams, and drive regulatory reporting.
Job Description
About Us
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in‑office culture that supports collaboration, engagement, and career development. Our approach includes clear in‑office expectations, while providing an appropriate level of flexibility based on role‑specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Global Business Services
Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.
Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation.
In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non‑banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.
Process Overview*
The team works closely with Quant, Technology and Risk teams to deliver regulatory programs such as FRTB, Full Reval VaR and other risk reporting initiatives.
The team’s main responsibility is to design, deliver and maintain data testing frameworks to provide independent assurance over the appropriateness and quality of risk calculations produced by Front Office Technology teams.
Job Description*
This role offers exposure to all asset classes (Rates, Commodity, Credit, FX and Equity) and requires strong programming abilities, especially in Python, to develop solutions on the Bank’s strategic platform, Quartz.
Engaging with program stakeholders to ensure scope and requirements are well defined
Understand change requirements and set up tests to examine quality of valuations and scenarios generated by risk technology
Produce DQ status updates for senior management and provide actionable inputs to Quants and technology for improvement of data quality
Responsibilities*
Understand calculation requirements and implement robust testing frameworks to assess the completeness and reasonableness of base PVs, risk sensitivities, scenarios, VaR and expected shortfall calculations. This includes designing and implementing tests, consolidating results, and analysing calculations to understand key drivers
Execute scheduled and ad hoc tests on large datasets including PVs and risk calculations
Raise and investigate data issues and model anomalies
Collaborate with the Quantitative, Technology and Risk teams on issue resolution and improvement of risk calculation inputs (including market data and models)
Enhance data accessibility and traceability through improved documentation and data lineage
Develop high-performance codebase to enable scaling and the generation of timely, frequent/daily test results
Requirements*
Education :- Bachelor’s degree in a quantitative subject (Engineering, Mathematics, Computer Sc, etc.) Postgraduate/Masters in Finance, Mathematics or any other quantitative area
Experience Range* 3 – 5 Years
Foundational Skills
Strong communication skills
Team player, self-starter
Analytical and problem-solving skills, experience performing data analyses
Desired skills
Ability to manage multiple concurrent workstreams, rapidly assimilate new concepts, and adapt to evolving business priorities and timelines
Optional: Risk/Capital Markets knowledge is desirable but not strictly necessary, provided there is a willingness to learn
Ability to identify and elevate risks, suggesting solutions and implement process improvements
Experience in software development, data engineering and/or automation within financial markets
Work Timings*
Work Timings* - 12:30 PM – 9:30 PM
Job Location*
Job Location* Gurugram