Job Description, Responsibilities & Requirements
About the Position
We are seeking a Senior Algorithm Engineer (Python) to join our fintech team in New York, developing and optimizing complex financial algorithms.
Project Overview
Our client is a fintech technology company building solutions that help global financial institutions unlock capital constraints and improve market efficiency. Their algorithms sit at the core of the product - solving complex optimization problems that impact trillions of dollars across capital markets each year. You will join a cross-office Algorithms team (London & New York), working on systems already in production while also contributing to new product development from the ground up.
Location: 11 West 42nd Street, 15th Floor, New York, NY 10036, USA
Work mode: Hybrid - 4 days in office, 1 day remote
Schedule: Monday–Friday, flexible 9-hour day
Responsibilities
- Partner with Product Owners and subject-matter experts (SMEs) to understand business requirements and deliver precise technical solutions
- Productionise, scale, and deploy complex financial optimization algorithms into enterprise-grade systems
- Research and iterate on existing optimization algorithms to continuously improve performance, speed, and scalability
- Conduct design and code reviews, ensuring solutions meet engineering standards and best practices
- Enhance CI/CD pipelines for financial algorithm development and deployment
- Contribute to the design of the company’s core product framework - validating approaches through documented designs and prototypes
- Provide algorithm domain expertise during live portfolio optimization events
Requirements
- Advanced knowledge of Python (3+ years production experience) with strong Object-Oriented Programming expertise
- Deep understanding of algorithms and data structures; demonstrated ability to design and implement them at scale (2+ years)
- Proven experience translating mathematical models into enterprise-level software solutions
- Strong experience in test-driven development (TDD) and agile delivery environments
- Demonstrated experience on quantitative or optimization-driven projects
- Ability to work through ambiguous, incomplete problem statements and drive solutions independently
- Strong critical thinking and scalability mindset - making systems run faster and handle larger loads
- Experience working across AWS and Python backend stacks
- Proficiency with AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code, or similar)
- Excellent communication skills with direct experience working alongside business stakeholders
- Advanced English (C1+)
- Bachelor’s degree in Computer Science, Mathematics, Operations Research, Financial Engineering, or a relevant quantitative field
Nice to Have
- Advanced degree in Computer Science, Mathematics, Operations Research, Financial Engineering, or a related quantitative discipline
- Hands-on experience with optimization frameworks, especially Gurobi (highly desired); also NAG, OR-Tools
- Research or modelling experience in mathematical optimization or operations research
- Financial markets knowledge and/or experience with derivatives products, clearing, or margin calculation
- Experience with PostgreSQL and AWS
- Knowledge of derivatives clearing / margin calculation
We Offer
- Competitive salary
- Opportunity for professional growth and development
- Collaborative and supportive team environment
About the Company
Our client is a fintech technology company building solutions that help global financial institutions unlock capital constraints and improve market efficiency. Their algorithms sit at the core of the product - solving complex optimization problems that impact trillions of dollars across capital markets each year.