Job Specifications
Our client is a global fintech leader that develops and deploys advanced algorithmic solutions to support the functioning of modern capital markets. Their platforms process trillions of dollars annually, enabling banks, hedge funds, and asset managers to optimize portfolios, manage systemic risk, and improve financial stability.
Algorithms sit at the core of everything the company does. From complex optimization engines to scalable real-time systems, the engineering teams work collaboratively to solve the largest and most intricate problems in global finance.
The company is built on a culture that blends academic rigor with engineering excellence. Professionals are encouraged to challenge conventional thinking, think openly about problems, and pursue continuous improvement. Great ideas are welcomed from anyone, anywhere.
The Role
Our client’s Algorithms team is seeking a Python Software Engineer with proven experience in building enterprise-grade production systems. This is not a research-only or prototype role — the emphasis is on designing, deploying, and scaling algorithms that run reliably in production, supporting mission-critical financial infrastructure.
The successful professional will be responsible for creating and maintaining services, APIs, and distributed systems that productionize financial algorithms, combining a strong software engineering mindset with quantitative problem-solving ability.
Responsibilities
Design, build, and maintain scalable Python services, APIs, and distributed systems.
Productionize complex financial algorithms, ensuring stability, reliability, and performance.
Collaborate with quants, product owners, and subject matter experts to translate business requirements into technical solutions.
Contribute to the architecture of distributed compute platforms and algorithmic frameworks.
Conduct design and code reviews, ensuring best practices and high engineering standards.
Maintain and modernize the codebase to support long-term scalability and enterprise-grade quality.
Required Experience
Proven Python software engineering experience (typically 3+ years), with strong OOP and system design skills.
Demonstrated ability to deploy and maintain production systems — APIs, scalable pipelines, or enterprise applications.
Solid understanding of algorithms and data structures, applied in real-world engineering contexts.
Background in test-driven development and agile methodologies.
Strong communication and collaboration skills.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline.
Preferred Experience:
Advanced degree in Computer Science or related field.
Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and cloud platforms (AWS).
Exposure to optimization frameworks such as Gurobi or OR-Tools.
Knowledge of financial markets, derivatives, or margin/clearing systems.
Experience with relational databases such as PostgreSQL.
Compensation Transparency
This role offers a base salary range of $170 000 - 200,000 +USD as salary base along with a discretionary performance bonus and a benefits package.
Final compensation will reflect the individual’s qualifications, skills, and experience.
Compliance & Inclusion
Our client is an equal opportunity employer and does not discriminate on the basis of race, color, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship, national origin, disability, veteran status, genetic information, age, or any other protected characteristic as defined by law.
Professionals must have, or be able to obtain, the legal right to work in the United States. The company is committed to providing reasonable accommodations during the recruitment process to ensure accessibility for all candidates.