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Design and maintain backtesting infrastructure

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← all rolesseniorFull-timeOpen roleArithmosData / Quant EngineerBuild the back-testing engine and portfolio-construction intelligence that every Arithmos claim depends on.London...

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About UsVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200...

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LT Harper Recruitment Group

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Synthires

Physics Research Scientist (Remote | $61–$77/hr)

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Research Physics ExpertLocation: RemoteEngagement Type: Hourly ContractCompensation: $61–$77/hourAbout the OpportunityThis opportunity is for experienced Physics Researchers...

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17918

Entry Level Data Consultant No Experience Required

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Entry Level Data Consultant No Experience Required From £30,000 - £65,000. This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees...

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Design and maintain backtesting infrastructure

Jobleads-UK

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Posted a day ago by Jobleads-UK

Job Description

← all rolessenior


  • Full-time

Open role


  • Arithmos

Data / Quant Engineer


Build the back-testing engine and portfolio-construction intelligence that every Arithmos claim depends on.


London (hybrid) or Remote (UK/EU) Full-time £200,000–£220,000 base


  • 1.5%–2.0% equity
  • performance bonus

About Arithmos


Arithmos is building the retail layer for direct indexing. We turn a plain-English idea into a transparent, rule-based portfolio with institutional-grade backtesting and analytics. Our goal is to make structured investing accessible to millions.


The role


You will build the core intelligence layer of Arithmos. Every index, every backtest, and every performance claim depends on the accuracy and robustness of your work.


What you’ll do


Design and maintain backtesting infrastructure


  • Historical simulations across equities
  • Handling corporate actions, survivorship bias, rebalancing

Build portfolio construction logic


  • Weighting systems (equal-weight, factor-based, custom rules)
  • Constraint handling (sector, geography, liquidity)

Develop performance and risk metrics


  • Volatility, drawdowns, Sharpe/Sortino
  • Benchmark comparisons (S&P 500, custom benchmarks)

Improve data pipelines


  • Pricing data ingestion
  • Cleaning, validation, and consistency checks

Work closely with product


  • Ensure outputs are accurate, explainable, and trustworthy

Requirements


  • 3–8+ years in quant, data engineering, or systematic investing
  • Strong Python (NumPy, Pandas)
  • Deep understanding of portfolio construction, backtesting pitfalls, and financial data structures
  • Experience working with large datasets efficiently

Nice to have


  • Experience in hedge funds, asset management, or quant shops
  • Knowledge of factor models or systematic strategies
  • Experience building user-facing quant tools

Why this role is exceptional


  • You define the credibility of the product
  • Opportunity to build a retail-grade quant engine
  • Work at the intersection of AI + investing + product
  • High autonomy, high impact, high upside

Compensation & Benefits


£200,000–£220,000 base


  • 1.5%–2.0% equity
  • performance bonus
  • Private healthcare
  • 25 days holiday + bank holidays
  • Top-tier equipment
  • Flexible working
  • Annual company offsite

Arithmos is an equal-opportunity employer.


Published 24 April 2026.


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