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Arithmos

Design and maintain backtesting infrastructure

Harrow
£200k – £220k/yr
Posted 1 day ago
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Arithmos

Data / Quant Engineer

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

Location: London (hybrid) or Remote (UK/EU)

Position: Full-time

Salary: £200,000–£220,000 base

Equity: 1.5%–2.0%

Performance Bonus: Available


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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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

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Compensation & Benefits

  • Base Salary: £200,000–£220,000
  • Equity: 1.5%–2.0%
  • Performance Bonus: Available
  • Private Healthcare
  • Holiday: 25 days + bank holidays
  • Equipment: Top-tier
  • Working Hours: Flexible
  • Company Offsite: Annual

How to Apply

Upload your CV and a short note — no more than 200 words — on why this role in particular. If you have work you’re proud of that’s relevant (a product you shipped, a research paper, a backtest you ran), link to it.

Two-stage process: screening call, then a take-home + technical deep-dive with the team you’d join.


Applying for Data / Quant Engineer

Your Name

Email

LinkedIn (optional)

Portfolio / recent work (optional)

Why this role (≤200 words)

CV (PDF, DOC, DOCX, TXT or RTF — max 5 MB)

Note: We’ll only use this to review your application and reply to you.


Arithmos is an equal-opportunity employer. Published 24 April 2026.

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Skills

Python
NumPy
Pandas
Backtesting
Portfolio Construction
Data Engineering
Quantitative Analysis
Financial Data Structures
Risk Metrics
Data Pipelines

Location

Harrow, England, United Kingdom

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