Anson McCade
Quantitative Researcher

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Quantitative Researcher - Singapore
Team/Role Overview:
Our client is a newly established quantitative trading firm seeking exceptional Quantitative Researchers to join its growing team in Singapore. The firm is building its research platform from the ground up and is particularly interested in talented researchers from outside of finance. Successful candidates will work on challenging predictive problems, applying a combination of statistical modelling, machine learning and computational techniques.
What You'll Do:
- Research and develop predictive models using large and complex datasets.
- Apply statistical, machine learning and deep learning techniques to real-world problems.
- Design rigorous experiments to identify and validate new signals.
- Develop high-quality research code and tools to test and implement ideas.
- Work closely with a small, highly technical team in a fast-moving research environment.
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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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.
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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.
Desirable Experience:
- Strong academic background in Mathematics, Statistics, Computer Science, Machine Learning, Biostatistics, Physics or another highly quantitative discipline.
- Excellent mathematical, statistical and problem-solving ability.
- Strong programming skills, ideally in Python, C++ or similar languages.
- PhD, Master's or exceptional undergraduate academic background.
- Experience in academic research, AI/ML, scientific computing or another technically demanding environment is highly relevant.
- Evidence of exceptional achievement through research, publications, competitive programming, Olympiads or academic performance is advantageous.
- Previous experience in finance or trading is not required.


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Location:
Singapore, with relocation support available. Exceptional candidates may also be considered for London.
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