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Quantitative Software Developer - Macro Trading - Hedge Fund

Location:
City of London, London
Salary:
Negotiable
Job Type:
Permanent
Date Posted:
29 days ago
Expiry Date:
28/07/2024
Job Ref:
QDev-Mac-9033_1718260168
Start Date:
13/06/2024
Contact:
Craig Pearman
Contact Email:
craig.pearman@xcede.com
Specialism:
Software Engineering & Architecture

This Multi-Strategy Hedge Fund seek multiple Quantitative Software Developers for their rapidly expanding Macro Trading Group, the division includes both Algo-driven Systematic, and Discretionary desks, trading Equities, Fixed Income, Commodities, and Futures products.

  • Basic Salary - Accurate Mark-to-Market for the Hedge Fund sector
  • Guaranteed Annual Cash Bonus (Non-deferred)
  • Equity/RSU/Bonus buy-out
  • Hybrid Model - 2 days WFH - Office Central London

What you'll be designing and building

In the Macro Quant Engineering group, you will work directly with Portfolio Management, Traders, Quant Researchers, High Performance Software and Data Engineering teams. Your work will be varied and include -

  • Develop Software solutions for Quant Research and Trading communities
  • Automated Research workflows to support idea generation and strategy development
  • Design and build Backtesting solutions
  • Build Data Pipelines for collection of new Alternate datasets
  • Design and Build Market Data APIs
  • Design and build bespoke Analytics and Risk tools
  • Implementation of new Trading Strategies into Production

Skills and Academics required

  • Minimum 3 years experience as a Software Engineer / Quantitative Developer (these roles are not suited to Quantitative Analysts or Quant Researchers), prior experience in FinMkts is NOT essential, however for those coming from other sectors, demonstrable excellent numeracy skills are a must
  • Outstanding academics (1st class / Distinction secured) Bachelors / Masters / PhD ideally in both Quant Finance / Mathematics / Probability, et al., and Software Development / Computer Science.
  • Expert Python (inc. Pandas, NumPy, SciPy, et al)
  • Excellent understanding of Advanced Data Structures and Algorithms
  • Experience of AWS, GCP or Azure
  • Experience of high performance languages such as C++, C#, (JVM based) is beneficial

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Craig Pearman

Craig Pearman

Specialisms: Software, Software Engineering & Architecture, Financial Trading & Risk
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