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TC
Tata Consultancy Services Limited
Quantitative Risk Engineer
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Based on New Jersey data
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What they do
A Risk Engineer is responsible for identifying, analyzing and minimizing risks often associated with construction or resource extraction projects. May work for insurance companies, or engineering firms.
$148,478 / year median in New Jersey
Job Description
Must Have Technical/Functional Skills
- 10+ years of experience in Quantitative Development, Risk Analytics, Front Office Risk Technology, or Capital Markets Risk Platforms.
- Strong knowledge of Fixed Income products, including: o Repo / Reverse Repo o Government Bonds o Corporate Bonds o Interest Rate Derivatives o Total Return Swaps (TRS)
- Strong understanding of: o Risk calculations and exposure measurement o Bond pricing and yield curve analytics o Interest rate sensitivity (DV01/PV01) o Funding and financing risk o Scenario analysis and stress testing
- Advanced Python development skills with expertise in: o Python o Pandas o NumPy o Data analysis and numerical modeling
- Strong analytical, troubleshooting, and root cause analysis skills.
- Experience investigating risk, valuation, and exposure discrepancies.
- Ability to reconcile outputs across risk systems, trading platforms, and finance calculations.
- Strong understanding of market data, curves, trade lifecycle events, and their impact on risk calculations.
- Experience working directly with traders, desk quants, risk managers, and finance users.
- Excellent communication and stakeholder management skills. Good to Have Skills
- Experience with Quartz or similar front-office risk and analytics platforms.
- Experience in Capital Markets, Fixed Income Trading, or Financing businesses.
- Knowledge of risk attribution, explainability, and quantitative analytics frameworks.
- Exposure to enterprise risk platforms and front-office technology environments. Roles & Responsibilities
- Enhance and support a Fixed Income and Financing Risk Platform focused on Repo business and risk analytics.
- Investigate unexplained risk, valuation, and exposure movements across trading and risk systems.
- Perform reconciliation between risk systems, trading platforms, and finance calculations.
- Conduct root cause analysis of incorrect or unexpected risk and valuation results.
- Analyze the impact of market data changes, yield curve movements, trade amendments, and booking issues on risk calculations.
- Work closely with traders, desk quants, risk managers, and finance teams to explain and resolve risk-related issues.
- Develop and enhance risk analytics, attribution, and explainability capabilities.
- Validate and challenge risk and valuation calculations to ensure analytical accuracy.
- Debug complex calculation issues across multiple systems and data sources.
- Design and implement analytical solutions using quantitative and risk domain expertise.
- Support production issues, troubleshooting, testing, and continuous platform improvements.