Anson McCade
Quantitative Researcher

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Quantitative Researcher – London
Location: London
Department: Mid-Frequency Equities | Quantitative Research
I’m working with a quantitative investment firm looking to hire an experienced Quantitative Researcher into its London team.
The role is focused on developing new sources of information and predictive signals for mid-frequency equity strategies, with significant scope to explore how machine learning and emerging AI technologies can improve the research process.
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.
The researcher will work across:
- Signal and predictive model development
- Research across large-scale financial and alternative datasets
- Statistical modelling and machine learning
- Equity market and mid-frequency systematic research
- LLMs, AI agents, and research automation
- New approaches to data analysis and hypothesis generation
- Backtesting, empirical research, and model validation
- Taking ideas from initial research through to implementation
The ideal candidate will have 2–5+ years of quantitative research experience within a market leading Tier 1 Firm, quantitative or investment environment, alongside a strong academic background and excellent Python, statistics, and ML skills.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Experience with equities, alternative data, and modern ML/AI techniques would be particularly relevant.
If you’re interested in the direction quantitative research is heading and would like to hear more, please reach out for a confidential conversation.
“It 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 I’ve been looking for.”
Jessica, London
Location