Quantitative Developer

Spectrum Search
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 83K

Job location

Tech stack

Digital Assets
Python
Object-Oriented Software Development
Build Management
Information Technology

Job description

We're working with a high-growth fintech firm at the intersection of digital assets and institutional finance. The company offers a 24/7 trading infrastructure and provides access to liquidity across a diverse range of products, including crypto and fiat spot, futures, forwards, CFDs, loans, and more.

This is a unique opportunity to take ownership of key treasury systems, shaping the design and implementation of solutions that underpin firm-wide trading activity. The role sits in the Treasury team and is essential in ensuring efficient balance sheet usage and internal pricing mechanisms., * Design and build robust transfer pricing systems for internal trading desks and counterparty obligations

  • Develop and maintain analytics across ALM, balance sheet utilisation, and inventory pricing
  • Automate workflows within inventory management to optimise P&L and control liquidity risk
  • Partner with trading, quant, operations, and engineering teams to support seamless 24/7 trading
  • Take a lead role in shaping the future of the Treasury function, including mentoring and team growth over time

Requirements

  • 4-8 years of experience in a quantitative development role
  • Solid understanding of treasury and balance sheet concepts, particularly ALM
  • Proficient in object-oriented programming - Python
  • Able to work collaboratively across functions and communicate technical ideas clearly
  • Highly adaptable, with the ability to prioritise and perform in a fast-moving environment
  • Strong analytical mindset, entrepreneurial approach, and commercial intuition
  • Passion for solving complex, data-driven problems
  • Degree in a numerate discipline (e.g. Maths, Physics, Computer Science, Engineering)

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