Senior Financial Engineer

Experienced Financial Engineer, work with diverse products High exposure, will work closely with brokers, market data teams and technology Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Physics, Statistics, or a related quantitative discipline. Strong understanding of fixed income products, including government bonds, corporate bonds, interest rate derivatives, and yield curve construction.

Research, design, and implement pricing models and quantitative solutions for financial instruments, with a focus on fixed income markets.

Develop and maintain financial analytics software in line with established engineering and quantitative development standards.

Enhance, validate, and support existing financial models while contributing to the development of new analytical capabilities.

Deliver high-quality analytical services and market insights to front-office stakeholders across multiple asset classes

Collaborate effectively with business, technology, and market data teams, communicating complex quantitative concepts to diverse audiences.

Mentor junior team members and provide advanced support for market data and analytics products in a time-sensitive environment

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

Experienced Financial Engineer, work with diverse products High exposure, will work closely with brokers, market data teams and technology

Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Physics, Statistics, or a related quantitative discipline. Advanced degree (Master's or PhD) preferred.

5+ years of experience in quantitative finance, financial engineering, model development, or fixed income analytics.

Strong understanding of fixed income products, including government bonds, corporate bonds, interest rate derivatives, and yield curve construction.

Proficiency in Python and experience developing production-quality analytical tools and pricing applications.

Solid knowledge of quantitative methods, numerical techniques, and financial modeling.

Experience working with large financial datasets, market data feeds, and pricing frameworks.

Strong problem-solving skills with the ability to translate complex business requirements into analytical solutions.

Excellent communication skills, with the ability to explain quantitative concepts to both technical and non-technical stakeholders.

Experience collaborating in cross-functional environments with business, technology, and market data teams.

Ability to manage multiple priorities and deliver results in a fast-paced, market-driven environment.

NYC based Financial Services organization

• Competitive salary ranging from $160,000 to $180,000 USD.
• Permanent position based in New York.
• hybrid work model