Full job description The context
We are a small, high-performance trading firm operating market-making strategies in crypto markets (primarily Binance).
We are currently in a transition phase: scaling the business, expanding strategy coverage, and rethinking how we approach systematic trading at a deeper level.
This is not about maintaining what exists.
This is about rebuilding and upgrading how we think about edge.
The role
We are looking for a Head of High Frequency Research to own and lead the evolution of our market-making and short-horizon trading strategies.
You will sit at the core of trading performance and be responsible for both:
*improving and validating existing strategies
*designing and deploying new sources of edge
You will act as the firm’s external upgrade in trading intuition , bringing experience from more advanced market-making / HFT environments.
This is a live trading role with direct PnL impact , not a research sandbox.
What you will do
*Lead research across market making and short-term trading strategies
*Reassess and validate existing live strategies (what works, what doesn’t, why)
*Identify structural weaknesses in the current trading approach
*Design new microstructure-driven strategies from first principles
*Extract signal from:
*order book dynamics
*trade flow and execution behaviour
*short-term price formation
*Work closely with engineers to move ideas into production quickly
*Analyse live trading performance and iterate in real time
*Build a clear understanding of why strategies make money — and when they stop working .
Strategic leadership responsibilities
This role goes beyond research execution.
You will be expected to:
*Define what "good performance" actually means in PnL terms
*Improve how strategies are measured and evaluated
*Help design proper attribution of trading performance
*Identify gaps in current thinking vs best practice in the industry
*Bring an external perspective from other HFT / market-making environments
You are not just building strategies — you are improving how the firm thinks about trading itself.
What we are looking for
We are open on the asset class.
Strong candidates may come from:
*crypto market making / HFT
*equities/futures / options market making
*proprietary trading firms
*systematic short-horizon trading desks
What matters is not the market, but microstructure intuition and live trading experience.
Core requirements
You should have:
*7+ years of experience in HFT / market making / systematic trading
*Proven exposure to live trading environments (not just research/back testing)
*Deep understanding of:
*order book mechanics
*execution quality, slippage, adverse selection
*short-horizon alpha generation
*Strong Python or equivalent data capability
*Ability to independently analyse large, noisy datasets
*Comfort working in environments without perfect data or infrastructure
Strong signals of success
We are particularly interested in candidates who:
*Have designed or improved strategies that traded live
*Think naturally in terms of:
*edge decay
*latency sensitivity
*inventory vs spread trade-offs
*Can clearly explain:
*why a strategy makes money
*when it stops working
*how market regime affects performance
*Have strong intuition for when data is misleading
Apply:-
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