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Trading
Portfolio managers and quantitative researchers across global mandates, with particular depth in Asia and China A-share strategies. Equity market neutral, crypto, macro, commodities.
Read more →Partnering with leading systematic funds, HFT firms, and quantitative hedge funds across Asia, Europe, the United States, and the Middle East. We place the people who build the strategies.
Working with the firms that define the category
Trading, Technology, Operations. We don't recruit for generalist finance roles.
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Portfolio managers and quantitative researchers across global mandates, with particular depth in Asia and China A-share strategies. Equity market neutral, crypto, macro, commodities.
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Engineering talent for the systems behind systematic trading. Senior C++ and Python depth in APAC, low-latency connectivity globally, and ML / AI infrastructure.
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Senior leaders who run quantitative trading firms behind the front office — general management, business operations, department heads (data, AI, risk), and compliance.
Trading, Technology, Operations. We don't recruit for generalist finance roles — scroll across to see the depth.
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Portfolio managers and quantitative researchers across global mandates, with particular depth in Asia and China A-share strategies. Equity market neutral, crypto, macro, commodities.
Read more →/ 02
Engineering talent for the systems behind systematic trading. Senior C++ and Python depth in APAC, low-latency connectivity globally, and ML / AI infrastructure.
Read more →/ 03
Senior leaders who run quantitative trading firms behind the front office — general management, business operations, department heads (data, AI, risk), and compliance.
Read more →Five phases. Six to twelve weeks. The work that earns you a tier-one hire — and earns the candidate the conviction to leave their seat.
We start by sitting with you. Title alone never tells the story — we map the team, the platform's risk culture, the comp band, the strategy mandate, and the cultural fit. We leave the room with a target spec we can defend.
We map the universe of qualified candidates. Existing employer, track record, P&L, strategy style, geography, motivation. The output is a longlist no other firm has — built from primary research, our network, and five years of pipelined data.
Discreet first contact, off-paper. We don't surface candidates who aren't truly engaged. Each call is a calibration check on the brief and an honest read on fit, comp expectations, and timing — before either side commits time.
Three to five candidates, fully vetted, with reference triangulation. You see comp benchmarks, candidate motivation, expected counter-offers, and our honest read on each — including the candidate we'd hire if we were you.
We support every interview. We negotiate the offer alongside your team, manage counter-offer scenarios in real time, and stay engaged through the first ninety days post-start — because a placement that doesn't stick isn't a placement.
Winsor sits on one thesis: machine learning is compounding into every layer of how alpha is sourced, modelled, and executed — and the gap between quantitative and discretionary trading is widening, not closing. We picked the side of the trade we wanted to be on. About four in five of our mandates are with quantitative firms — across the trading, technology, and operations sides of the firm. Globally, with particular depth in Asia, China A-share strategies, and APAC engineering.
03 — Position
5
Regions
3
Specialisations
∞
Conviction per search
Winsorizev.
to limit the influence of extreme values in a sample — keeping the signal, removing the noise.
— after Charles P. Winsor, biostatistician (1895–1951)
A snapshot of what we are working on right now. Speak to us for the full briefing.
A selection of recent placements. Anonymised by firm — we don't publish client names, ever — but indicative of the seats and the geographies we run.
+ More across 2024–2026
Talent flow and hiring trends across the firms we work with. Brief, concrete, no filler.