ABOUT THE PROJECT

The company is a fast-growing platform focused on helping financial institutions optimize capital efficiency and improve the way financial resources are allocated across the market. Its technology is used by major banks, hedge funds, and asset management firms to streamline operations, improve liquidity management, and support more efficient financial workflows. The company works with a large network of enterprise financial clients globally and operates in a highly data-driven and technically complex environment. Backed by top-tier international investors, the team consists of experienced professionals from the financial services and technology industries. The company has an international presence with teams across the US, Europe, and Israel, and continues to scale rapidly.

REQUIREMENTS

– 3-10 years of Python Software Engineering experience, with strong Object-Oriented Programming expertise
– 2+ years of experience designing and implementing algorithms and/or working with complex data structures
– Demonstrated experience with quantitative or optimization-driven projects
– Proven ability to translate mathematical models into enterprise-level software solutions
– Extensive experience working in a test-driven, agile development environment
– Strong interpersonal and collaborative skills
– Excellent communication skills and experience working directly with business stakeholders
– Passion for creatively solving challenging, multi-dimensional mathematical problems
– Ability to multi-task and balance multiple priorities and deadlines
– Bachelor’s degree in Computer Science, Mathematics, Operations Research, Financial Engineering, or a relevant quantitative field
– Advanced degree in Computer Science, Mathematics, Operations Research, Financial Engineering, or related quantitative discipline (nice to have)
– Experience with optimization frameworks (e.g., Gurobi, NAG, OR-Tools) (nice to have)
– Financial Markets experience and/or knowledge of derivatives products and markets (nice to have)
– Experience with AWS and PostgreSQL (nice to have)
– Knowledge about derivatives clearing / margin calculation (nice to have)
– Proficiency in AI-assisted SDLC (planning, coding, debugging, etc.) and experience with tools like Cursor, GitHub Copilot, Claude Code, or similar IDE extensions (nice to have)

RESPONSIBILITIES

– Partner with Product Owners and subject-matter experts (SMEs) to understand application capabilities and deliver technical solutions
– Productionize, scale, and deploy complex financial algorithms
– Conduct design and code reviews to ensure solutions meet engineering standards and best practices
– Enhance the CI/CD pipeline for financial algorithm development and deployment
– Research and iterate on Capitolis’ optimization algorithms to improve performance over time
– Contribute to the design of the company’s core product framework, validating approaches through documented designs and prototypes
– Provide algorithm domain knowledge support during live portfolio optimization events

WHAT WE OFFER

– People-first management with minimal bureaucracy
– A friendly company culture, proven by employees who choose to return
– Flexible working hours
– Full financial and legal support for independent contractors
– Free English classes, with native speakers or Ukrainian teachers
– Dedicated HR support

COMPENSATION & BENEFITS

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