Haskell Developer

What you will do

The Modelling & Analytics team is responsible for the design, development, and delivery of real-time pricing models, risk analytics, and core quantitative infrastructure used within Financial Markets. These systems enable pricing, market data processing, intraday risk reporting, and portfolio-level analytics, including regulatory and capital optimization reporting.

The role is part of a newly established and growing team in Poland, working closely with global front-office teams. The technology landscape spans a wide range of applications — from lightweight tools supporting individual trading desks to large-scale platforms processing millions of trades and serving thousands of users.

The primary implementation language is Haskell, including an internal variant (Mu), used across backend services, analytics engines, and user-facing applications. The environment encourages innovation, continuous improvement, and close collaboration between quantitative developers and trading teams.

Software Development & Architecture

• Design, implement, and extend features of internal pricing and analytics platforms
• Develop robust, high-performance functional software using Haskell / Mu
• Contribute to architectural decisions and technical design discussions
• Work across both Windows and Linux environments

Front Office Collaboration

• Work closely with Financial Markets traders and structuring teams
• Translate front-office requirements into scalable technical solutions
• Bride the gap between quantitative analysis and production systems

Project & Delivery

• Participate in planning, estimation, and prioritization of development work
• Contribute to code reviews, documentation, and knowledge sharing
• Use standard development tooling (Git, issue tracking, documentation platforms)

Risk, Governance & Controls

• Ensure adherence to internal controls, operational risk standards, and regulatory requirements
• Support operational risk monitoring through data, analytics, and reporting
• Maintain high standards of code quality, auditability, and reliability

Culture & Continuous Improvement

• Promote best engineering practices and continuous improvement
• Contribute to an open, collaborative, and inclusive team culture
• Actively engage in learning and coaching within the team

Requirements

MUST

• Degree in Computer Science, Mathematics, Engineering, or equivalent practical experience
• Commercial or strong hands-on experience in functional programming, preferably Haskell (min 5years)
• Solid computer science fundamentals:
• Algorithms and data structures
• Complexity analysis
• Concurrency and parallelism
• Strong analytical and mathematical skills
• Experience working in collaborative, multi-stakeholder environments
• Ability to communicate technical concepts clearly to non-technical partners

NICE TO HAVE

• Experience in Financial Markets, trading, pricing, or risk analytics
• Knowledge of C++ or other low-level / high-performance languages
• Exposure to quantitative finance, derivatives, or market risk
• Experience with large-scale distributed or real-time systems
• Familiarity with DevOps practices and production support environments