Michael Page
Algorithmic Trading Developer
Permanent opportunity with an established financial services firm in NYC. Full time position with competitive salary and discretionary bonus. About Our Client
The client is a leader in the fintech space. Job Description
Contribute to the end-to-end development, testing, and monitoring of next-gen global algorithmic trading platform, including low-latency strategies and core infrastructure like order management and rules engines. Collaborate with quantitative researchers to implement trading algorithms, models, and analytical signals. Partner with product and sales teams to address client needs and deliver algorithm customizations. Create innovative, practical solutions that align with strategic goals. Thrive in a collaborative team setting and maintain a growth mindset by staying informed on industry trends. 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 individuals 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. The Successful Applicant
A bachelors or higher degree in computer science, mathematics, or a related engineering discipline. Advanced skills in Java, Linux, and object-oriented design, with an emphasis on performance, reusability, test automation, and customization flexibility. Minimum of 2 years hands-on experience developing backend trading systems for equities, futures, or listed derivatives, preferably including execution algorithms, proprietary strategies, risk trading, or smart order routing. Strong understanding of equities market structure and trading operations, including trading venues, order types, market data, regulatory considerations, and order routing mechanisms. Proven ability to implement quantitative models, analyze statistical data, create visualization tools, and perform simulations or back-testing of trading strategies. Whats On Offer
A full time position with competitive base salary and discretionary bonus, as well as room for growth at an established firm. Contact
Hannah Nagle Quote job ref JN-062025-6775454 Job Summary
Sector: Information Technology Sub Sector: IT Development Industry: Financial Services Location: New York Contract Type: Permanent Consultant name: Hannah Nagle Job Reference: JN-062025-6775454 Job Nature: Hybrid working
Permanent opportunity with an established financial services firm in NYC. Full time position with competitive salary and discretionary bonus. About Our Client
The client is a leader in the fintech space. Job Description
Contribute to the end-to-end development, testing, and monitoring of next-gen global algorithmic trading platform, including low-latency strategies and core infrastructure like order management and rules engines. Collaborate with quantitative researchers to implement trading algorithms, models, and analytical signals. Partner with product and sales teams to address client needs and deliver algorithm customizations. Create innovative, practical solutions that align with strategic goals. Thrive in a collaborative team setting and maintain a growth mindset by staying informed on industry trends. 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 individuals 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. The Successful Applicant
A bachelors or higher degree in computer science, mathematics, or a related engineering discipline. Advanced skills in Java, Linux, and object-oriented design, with an emphasis on performance, reusability, test automation, and customization flexibility. Minimum of 2 years hands-on experience developing backend trading systems for equities, futures, or listed derivatives, preferably including execution algorithms, proprietary strategies, risk trading, or smart order routing. Strong understanding of equities market structure and trading operations, including trading venues, order types, market data, regulatory considerations, and order routing mechanisms. Proven ability to implement quantitative models, analyze statistical data, create visualization tools, and perform simulations or back-testing of trading strategies. Whats On Offer
A full time position with competitive base salary and discretionary bonus, as well as room for growth at an established firm. Contact
Hannah Nagle Quote job ref JN-062025-6775454 Job Summary
Sector: Information Technology Sub Sector: IT Development Industry: Financial Services Location: New York Contract Type: Permanent Consultant name: Hannah Nagle Job Reference: JN-062025-6775454 Job Nature: Hybrid working