Senior Financial Engineer

Matlen Silver; New York (NY); Hybrid; USD 83,000 - 94,000; Part time

Job summary

Matlen Silver in Jersey City / New York City is seeking a Senior Financial Engineer (Fixed income/Trading) to join our Capital Markets technology team. This backend-focused role emphasizes Python development, pricing engines, and risk management applications across asset classes.

You will collaborate with traders, quants, risk managers, and technology colleagues to design scalable services, implement RESTful APIs, and advance models for Fixed Income products in a fast-paced, hybrid work

Qualifications

• Bachelor's or Master's degree in Financial Engineering, Computer Science, Mathematics, Physics, Engineering, Finance, or a related quantitative discipline.
• Experience designing and developing RESTful APIs and backend services.
• Solid understanding of object-oriented programming and distributed systems.
• Experience with relational databases (SQL) and exposure to NoSQL or object databases.
• Strong analytical and problem-solving skills with the ability to work on complex quantitative applications.

Responsibilities

• Design, develop, and maintain backend applications supporting Capital Markets trading, pricing, and risk platforms.
• Build scalable Python services and RESTful APIs to support front-office trading, quantitative research, and risk management functions.
• Develop and enhance pricing models, valuation frameworks, and quantitative analytics for Fixed Income and other capital market products.
• Partner with traders, quantitative analysts, risk managers, and business stakeholders to translate complex business requirements into technical solutions.
• Support the development and integration of trading systems, market data platforms, and financial analytics applications.
• Optimize application performance, scalability, and reliability for high-volume, low-latency environments.
• Integrate financial models with enterprise trading, pricing, and risk systems.
• Participate in model validation, testing, and production support for critical trading applications.
• Collaborate across technology and business teams to deliver innovative solutions supporting front-office and risk operations.

Skills

RESTful APIs

Backend services

OOP

Distributed systems

SQL

NoSQL

Education

Bachelor's or Master's degree in a quantitative field

Tools

Python

SQL/Databases

C++

Java

Job description

Senior Financial Engineer (Fixed income/Trading)

Jersey City | New York City

18 Month W2 Contract

Hybrid 3 days onsite 2 days remote

$60-$68/hour

Financial Engineer – Capital Markets & Fixed Income

Position Overview

We are seeking a highly analytical Financial Engineer to join our Capital Markets technology team. This role is ideal for someone with a strong quantitative background who combines expertise in financial products with hands-on software development skills. You will partner with traders, quants, risk managers, and technology teams to design, develop, and enhance mission-critical trading, pricing, and risk management applications across multiple asset classes.

The successful candidate will work on complex financial models, pricing engines, and trading systems supporting Fixed Income and Capital Markets businesses. This is a backend-focused engineering role requiring strong Python development experience, API design, and a deep understanding of financial instruments and quantitative methodologies.

Key Responsibilities

• Design, develop, and maintain backend applications supporting Capital Markets trading, pricing, and risk platforms.
• Build scalable Python services and RESTful APIs to support front-office trading, quantitative research, and risk management functions.
• Develop and enhance pricing models, valuation frameworks, and quantitative analytics for Fixed Income and other capital market products.
• Partner with traders, quantitative analysts, risk managers, and business stakeholders to translate complex business requirements into technical solutions.
• Support the development and integration of trading systems, market data platforms, and financial analytics applications.
• Optimize application performance, scalability, and reliability for high-volume, low-latency environments.
• Integrate financial models with enterprise trading, pricing, and risk systems.
• Participate in model validation, testing, and production support for critical trading applications.
• Collaborate across technology and business teams to deliver innovative solutions supporting front-office and risk operations.

Required Qualifications

• Bachelor's or Master's degree in Financial Engineering, Computer Science, Mathematics, Physics, Engineering, Finance, or a related quantitative discipline.
• Experience designing and developing RESTful APIs and backend services.
• Solid understanding of object-oriented programming and distributed systems.
• Experience with relational databases (SQL) and exposure to NoSQL or object databases.
• Strong analytical and problem-solving skills with the ability to work on complex quantitative applications.

Capital Markets & Fixed Income Expertise

Experience working with one or more of the following products is highly desirable:

• Government and Corporate Bonds
• Treasury Securities
• Mortgage-Backed Securities (MBS)
• Asset-Backed Securities (ABS)
• Commercial Mortgage-Backed Securities (CMBS)
• Credit Default Swaps (CDS)
• Interest Rate Swaps
• Cross Currency Swaps
• FX Spot, Forward, and Options
• Futures and Options
• Repos and Securities Financing
• Money Market Instruments
• Structured Products
• Convertible Bonds
• Exchange-Traded Funds (ETFs)

Experience with one or more of the following areas is preferred:

• Fixed Income pricing and valuation models
• Yield curve construction and interest rate modeling
• Duration, Convexity, and DV01 calculations
• Credit risk and counterparty exposure
• Stress testing and scenario analysis
• P&L attribution
• Sensitivity analysis (Greeks)
• Liquidity risk
• Quantitative modeling and statistical analysis

Preferred Qualifications

• Experience developing or supporting electronic trading platforms or order management systems (OMS/EMS).
• Knowledge of financial modeling libraries and numerical methods.
• Familiarity with market data providers and financial messaging protocols.
• Experience working in Agile software development environments.
• Exposure to cloud technologies and distributed computing architectures.
• Experience with C++, Java, or other programming languages is an asset.
• Knowledge of regulatory reporting, capital markets compliance, or financial controls is a plus.

What You'll Bring

• Strong communication skills with the ability to collaborate effectively across business and technology teams.
• Passion for solving complex quantitative and engineering problems.
• Ability to thrive in a fast-paced, front-office Capital Markets environment.
• A continuous learning mindset with an interest in financial innovation, trading technology, and quantitative finance.