Group 107

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