Harvey Nash
Quantitative Developer

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Quantitative Developer (C#/.NET) β Investment Banking π London (Hybrid β 2 days per week) π° Up to Β£1,050 per day (Inside IR35 via Umbrella) π Initial contract until end of the year, with strong likelihood of extension into February
I'm working with a leading global investment bank looking for an experienced Quantitative Developer to join a high-performing Quantitative Research team responsible for delivering enterprise-wide market data solutions used across Front Office trading and risk.
This is an opportunity to work on a mission-critical, real-time market data platform that publishes pricing across multiple asset classes including Rates, FX, Commodities, Credit, and XVA.
What you'll be working on
- Developing and enhancing a large-scale C#/.NET market data publishing platform.
- Building solutions that support market data lineage and traceability from raw data through to published outputs.
- Migrating legacy Excel/VBA-based publishing processes onto a strategic enterprise platform.
- Collaborating closely with Quantitative Research, Front Office Trading, Market Risk, and Technology teams.
- Delivering production-quality software across the full development lifecycle.
Reasons to use Rodeo
Iβm in my final year doing Economics and I donβt know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer β it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) donβt need a masters. Letβs look at the ones youβd 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 β that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant β 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
Youβve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon β 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 β 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 β and where to focus when applying.
Key skills required
- 5+ years' experience as a Quantitative Developer within a major financial institution.
- Strong C#/.NET development experience in complex enterprise applications.
- Python development experience.
- Experience working on real-time market data or pricing platforms.
- Knowledge of one or more financial asset classes such as Rates, FX, Fixed Income, Credit, or XVA.
- Experience working within large quantitative libraries or analytics platforms.
- Strong understanding of software engineering best practices, testing, and deployment.


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Desirable
- Master's or PhD in a quantitative discipline (Mathematics, Physics, Engineering, Statistics, or similar).
- Experience migrating legacy Excel/VBA solutions into strategic platforms.
- Knowledge of market data publishing, pricing models, or data lineage.
Interview Process
- Teams interview.
- Technical coding assessment completed remotely via email.
If you're an experienced Quant Developer looking to work on a strategic Front Office platform within a globally recognised investment banking environment, I'd be happy to tell you more.
π© Apply directly or send me a message for a confidential discussion.
βIt took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what Iβve been looking for.β
Jessica, London
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