Quantitative Risk Engineer

Tata Consultancy Services; Jersey City (NJ); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

401K Plan

Job summary

Tata Consultancy Services is seeking a seasoned quantitative developer to enhance a Fixed Income and Financing Risk Platform focused on repo analytics and risk assessment. You will investigate unexplained risk movements and reconcile outputs across risk systems and trading platforms.

The role requires 10+ years in quantitative development, strong Python skills (NumPy/Pandas), and deep knowledge of fixed income products, yield curves, and DV01/PV01.

Qualifications

• 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 Government Bonds, Corporate Bonds, and TRS.
• Strong understanding of risk calculations and exposure measurement, Bond pricing and yield curve analytics, DV01/PV01.
• Experience with Python development and data analysis tooling (Pandas, NumPy).
• Experience investigating risk, valuation, and exposure discrepancies; ability to reconcile outputs across systems.
• Excellent communication and stakeholder management skills.

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.

Skills

Python

NumPy

Pandas

Fixed Income

DV01/PV01

Risk Analytics

Risk Platforms

Stakeholder Management

Education

Bachelor of Computer Science

Tools

Quartz

Job description

• 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:
• Government Bonds
• Total Return Swaps (TRS)
• Strong understanding of:
• Risk calculations and exposure measurement
• Bond pricing and yield curve analytics
• Interest rate sensitivity (DV01/PV01)
• Funding and financing risk
• Scenario analysis and stress testing
• Advanced Python development skills with expertise in:
• Python
• NumPy
• 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.

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:
• Repo / Reverse Repo
• Government Bonds
• Corporate Bonds
• Interest Rate Derivatives
• Total Return Swaps (TRS)
• Strong understanding of:
• Risk calculations and exposure measurement
• Bond pricing and yield curve analytics
• Interest rate sensitivity (DV01/PV01)
• Funding and financing risk
• Scenario analysis and stress testing
• Advanced Python development skills with expertise in:
• Python
• Pandas
• NumPy
• 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.

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professio nal Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $100,000 - $125,000 a year

Qualifications

BACHELOR OF COMPUTER SCIENCE