Arithmos
Design and maintain backtesting infrastructure

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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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
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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