Front Office Quant Engineer

Identify Solutions; Greater London; On-site; GBP 140,000 - 150,000; Full time

Job summary

Identify Solutions is seeking a Front Office Quant Engineer in London to work directly with Portfolio Managers, Traders and Quant Researchers. You will build Python trading, research and analytics tools that researchers rely on to price, risk-manage and execute strategies.

Ideal candidates have strong Python and software engineering skills and experience in hedge funds, prop trading or investment banks, with exposure to rates, macro, fixed income or derivatives.

Qualifications

• Excellent Python and software engineering skills.
• Experience in hedge funds, prop trading, or investment banks.
• Exposure to rates, macro, fixed income, derivatives or systematic trading.
• Understands both the technology and the trading problem.

Responsibilities

• Build Python trading, research and analytics tools.
• Work directly with PMs, Traders and Quants.
• Develop solutions across pricing, risk, P&L, funding and portfolio analytics.
• Turn trading ideas into robust, production-ready technology.
• Take genuine ownership of front-office problems from concept to delivery.

Skills

Python

Front office exposure

Hedge fund/prop trading experience

Rates/Macro/Fixed Income/Derivatives

Trading problem understanding

Job description

Want to build technology that directly influences trading decisions and P&L, rather than sit several layers away from the desk?

I’m looking for a Front Office Quant Engineer to work directly with Portfolio Managers, Traders and Quant Researchers, building the tools they use to research, price, risk-manage and execute strategies.

Base salary £140-150k + Bonus. Realistic OTE c£220-250k.

What you’ll do

• Build Python trading, research and analytics tools
• Work directly with PMs, Traders and Quants
• Develop solutions across pricing, risk, P&L, funding and portfolio analytics
• Turn trading ideas into robust, production-ready technology
• Take genuine ownership of front-office problems from concept to delivery

What I’m looking for

• Excellent Python and software engineering skills
• Experience in a hedge fund, prop trading firm or investment bank
• Exposure to Rates, Macro, Fixed Income, Derivatives or systematic trading
• Someone who understands both the technology and the trading problem

This is ideal for a strong Quant Developer or Quant Engineer who wants to get closer to the desk, closer to investment decisions and closer to P&L.