Quantitative Developer - C++/Python for Trading Models

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

United States Digital Space LLC seeks a highly skilled Quantitative Analyst to advance pricing and risk‑management analytics across our trading platforms. You will implement quantitative models, collaborate with traders and tech teams, and ensure governance and compliance with control frameworks.

The role requires strong programming in C++, C#, SQL and Python, plus experience with stochastic methods and financial instruments. Full‑time onsite in London region.

Qualifications

• Experience in a comparable quantitative modeling or analytics role in finance.
• Must have technical/programming skills; C# .Net, SQL and C++ exposure to market data and statistics.
• Knowledge of quantitative methods in investments and finance.
• Strong written and verbal communication skills.

Responsibilities

• Develop analytics libraries used for pricing and risk-management.
• Create, implement, and support quantitative models for trading using diverse mathematical methods and tools (C++, C#, .NET, Python, SQL, kdb).
• Develop pricing models using numerical techniques (Monte Carlo, PDE solvers).
• Collaborate with Traders, Structurers, and technology professionals.
• Work with control functions to ensure governance, compliance, and risk oversight.
• Uphold governance, ethics, and supervision in financial operations.
• Understand and comply with the Code of Conduct and supervision plans.

Skills

C# .Net

SQL

C++

Statistics

Probabilities

Software design

Education

Bachelor’s/University degree, Master’s degree or doctorate preferred

Tools

kdb

Python

SQL

C++

C#

Job description

United States Digital Space LLC seeks a highly skilled Quantitative Analyst to advance pricing and risk‑management analytics across our trading platforms. You will implement quantitative models, collaborate with traders and tech teams, and ensure governance and compliance with control frameworks.

The role requires strong programming in C++, C#, SQL and Python, plus experience with stochastic methods and financial instruments. Full‑time onsite in London region.