Assistant Manager

United States Digital Space LLC; Gurugram District; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

the company in Gurugram is seeking a data testing engineer with strong Python skills to design, implement and maintain testing frameworks for risk calculations across asset classes. You will partner with Quants and Risk teams to ensure data quality and robust processes.

Responsibilities include building scalable tests, analyzing results, resolving data issues, and contributing to continuous improvement of risk data infrastructure and tooling.

Qualifications

• Bachelor's degree in quantitative field; postgraduate/masters in Finance/Maths desirable.
• 3-5 years of experience in data testing or risk reporting contexts.
• Strong programming abilities in Python for risk data tooling.

Responsibilities

• Understand calculation requirements and implement robust testing frameworks for PVs, risk sensitivities, scenarios, VaR and expected shortfall.
• Execute scheduled and ad hoc tests on large datasets including PVs and risk calculations.
• Raise and investigate data issues and model anomalies; collaborate with Quants and Risk teams to improve inputs and data lineage.
• Develop high-performance code to enable scalable, timely test results.

Skills

Python

Data testing

Communication

Team player

Education

Bachelor's degree in quantitative field

Tools

Quartz platform

SQL

Job description

Job Description

About Us

At the company, 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.the company 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 the company, 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 the company 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 the company 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 escape risks, suggesting solutions and implement process improvements
• Experience in software development, data engineering and/or automation within financial markets

Work Timings - 12:30 PM - 9:30 PM

Job Location* Gurugram