Senior Quantitative C++ Developer

Epsilon Technologies Group; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading capital-markets technology firm is seeking a senior quantitative C++ developer to enhance its analytics platform. The role requires 6-9+ years of modern C++ development experience, a strong background in financial modeling, and proficiency in scripting and relational databases. This position offers the chance to work on impactful projects while contributing to the evolution of advanced analytics capabilities. Remote options available.

Qualifications

• 6-9+ years of hands-on modern C++ development in a quantitative or financial-modelling environment.
• Strong mathematical and numerical-analysis foundation with experience in fixed income valuations.
• Proficiency with modern C++, relational databases, and scripting/interface integration.

Responsibilities

• Design, develop and maintain quantitative analytics libraries in modern C++.
• Translate financial models into production-grade code.
• Maintain and develop the financial-modelling components within the analytics platform.

Skills

Modern C++ development

Mathematical analysis

Quantitative problem-solving

Financial modeling

Oracle databases

Python scripting

Education

Master’s or PhD in Mathematics

M.Sc., M.Tech or PhD in Quantitative Finance

Job description

Epsilon Technologies Group (Epsilon) is a specialist capital‑markets technology solutions and services firm helping financial institutions modernize their platforms, risk management, and operations. Our products provide valuation, risk, and accounting capabilities for complex fixed income and derivative instruments, built on a sophisticated C++‑based analytics engine and rich financial data model architecture.

We’re seeking a senior quantitative C++ developer to further strengthen our analytics and modelling capability within this platform.

What You’ll Do

• Design, develop and maintain quantitative analytics libraries and modules in modern C++.
• Translate financial models (yield curves, cash‑flow modelling, interest rate models) into production‑grade code, which is robust, efficient, secure, and maintainable.
• Maintain and develop the rich financial‑data model architecture underpinning our analytics platform.
• Maintain and develop the financial‑modelling components (pricing, risk, sensitivities, scenario analysis) within that engine.
• Participate in version control (Git/Subversion), code reviews, unit/integration testing and performance‑tuning of numerical code.

What We’re Looking For

• 6-9+ years of hands‑on modern C++ development experience in a quantitative or financial‑modelling environment.
• Master’s or PhD in Mathematics, Financial Engineering, Applied Mathematics, Physics, Computer Science or other similar quantitative disciplines.
• Strong mathematical and numerical‑analysis foundation; experience with fixed income valuations and derivatives pricing/risk management.
• Proficiency with modern C++, relational databases (Oracle preferred) and scripting/interface integration (Python, RESTful, Message Broker, etc.).
• Excellent problem‑solving skills, a strong quantitative mindset, and prior exposure to the capital‑markets or financial‑services domain.

Preferred Educational Background

• M.Sc., M.Tech or PhD in Quantitative Finance, Financial Engineering, Mathematics, Applied Mathematics, Computational Science or similar.

Why Join Us

• Build and shape advanced quantitative and analytics capabilities within a capital‑markets technology platform.
• Join a high‑impact team where your work will contribute directly to our product evolution and client‑service offering.
• Strong long‑term growth and career potential as Epsilon expands its products globally.

Location

• Chennai area (preferred) but remote options are available.
• Willingness to work in the UK shift, to align with global stakeholders.
• Collaboration across India and with international teams.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

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