Senior Algorithm Engineer (Python)
New York Full-time ZR_1501_JOBProject overview
We are looking for a Senior Algorithm Engineer (Python) to join client project.
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 optimisation 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
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 optimisation-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
SOFT SKILLS
- Self-driven with strong initiative — proactively raises issues and drives improvements
- Comfortable operating under ambiguity; able to progress without 100% task clarity
- Strong critical thinker with a passion for multi-dimensional mathematical problem-solving
- Collaborative team player effective across engineering, product, and business teams
- Ability to manage multiple priorities and deadlines simultaneously
Nice to have
- Advanced degree in Computer Science, Mathematics, Operations Research, Financial Engineering, or a related quantitative discipline
- Hands-on experience with optimisation frameworks, especially Gurobi (highly desired); also NAG, OR-Tools
- Research or modelling experience in mathematical optimisation 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
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 optimisation algorithms into enterprise-grade systems
- Research and iterate on existing optimisation 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 optimisation events
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