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iSAM

Data Developer

Reposted 19 Days Ago
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In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
The Data Developer role involves onboarding and modeling datasets, conducting data analysis, and supporting production data in live trading environments.
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iSAM is an innovative, financial technology firm specialising in quantitative trading, compromised of iSAM Funds and iSAM Securities.

iSAM Securities regulated by the FCA, SFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group’s bank Prime Brokers.

iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios.

About the Role:

We are growing the Data Team at iSAM. This is a full stack python development role, focused on data. An ideal candidate would have enthusiasm for quantitative data and a drive to understand, model and analyse a variety of datasets, collaborating across a fast paced, multi-disciplinary team.

Responsibilities:

  • Onboard, build and model datasets of varying frequency
  • Explore data, conduct analysis and integrate data into our backtest framework
  • Collaborate closely with quantitative researchers and the wider investment teams
  • Production support for datasets in live trading
  • Ongoing work to grow and develop the system across strategies and regions

Qualifications:

  • 3+ years of commercial software engineering experience
  • Strong python programming skills
  • Experience with financial data, ideally equities, derivatives or other tradeable asset classes
  • Experience working with data in quantitative investing and the ability to deliver practical solutions in imperfect data environments
  • Familiarity with numerical python libraries e.g., numpy, pandas and polars
  • SQL experience with any flavour of SQL
  • Experience with version control, test driven development, linux and navigating and working in large codebase
  • Flexibility to work across a variety of areas in a highly collaborative team and take significant ownership of tasks

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