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WhiteBIT

Quantitative Researcher

United Kingdom
Posted about 18 hours ago
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We are the creators of a new fintech era!

Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.

We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.

Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.

Join us as an Quantitative Researcher.

Requirements:

Education & Experience:

  • MSc or PhD in a quantitative field; a live trading track record outweighs credentials
  • 5+ years in quantitative research or trading at a top-tier HFT firm, market maker, systematic fund, or crypto-native market maker; exchange-side market-structure experience is a plus
  • Hands-on experience with at least one TradFi asset class (FX, futures, equities) and / or equivalent crypto asset classes; both maker and taker strategies

Core Technical Skills:

  • Advanced probability, statistics, time-series analysis, optimization; strict validation discipline (multiple testing, out-of-sample hygiene, live–sim parity)
  • Market microstructure: order-book dynamics, queue position, fill probability, adverse selection and markouts, market impact
  • Expert Python (NumPy, pandas/Polars, PyTorch); working C++ or Rust for latency-critical components
  • Tick-data engineering at scale: columnar stores, cross-venue normalization, data-quality control

Market Knowledge:

  • Crypto microstructure: CEX matching engines and fee schedules, perpetuals (funding, mark price, liquidation/ADL), cross-venue arbitrage, DEX/AMM basics
  • TradFi microstructure: FX ECN mechanics (firm vs last-look liquidity, prime brokerage), listed futures; low-latency architecture (tick-to-trade path, colocation, exchange protocols)
  • Inventory and hedging: quoting models of the Avellaneda–Stoikov class and extensions, multi-asset inventory optimization, hedging, settlement workflows, real-time risk limits and kill switches

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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.

Exchange Microstructure & Mechanism Design:

  • Maker-taker economics and market-quality measurement: fee-tier and rebate architecture, per-segment elasticity, spread/depth/slippage/markout metrics, defenses against rebate farming and wash trading
  • Liquidity program design: obligation-based schemes (two-sided quoting, presence at touch, minimum depth, uptime) and incentive-based schemes (tiered rebates, credit lines, connectivity benefits)
  • Maker protection and flow segmentation: markout-based counterparty scoring, retail price improvement (RPI) order types, asymmetric speed bumps and latency floors, minimum quote life, self-match prevention
  • Exchange P&L modeling: net fee capture, subsidy budget and payback, LP unit economics from onboarding to self-sufficiency

Mindset & Soft Skills:

  • Owner mentality with direct P&L accountability; ships to production and makes honest kill decisions
  • Clear written communication with traders, engineers, exchange management, and external LPs
  • Compliance discipline across crypto and TradFi market-abuse regimes

Responsibilities:

Liquidity Program:

  • Design the program end-to-end: MM tiers, admission criteria, obligations (max spread, min depth, uptime, presence at touch), incentives, and graduation to subsidy-free self-sufficiency
  • Optimize the fee schedule for net capture: taker tiers priced to measured elasticity by segment; maker rebates funded from taker fees; safeguards against tier gaming
  • Design order-book mechanics for comfortable quoting: tick and lot sizing, post-only / iceberg / RPI order types, self-match prevention, minimum quote life, passive-liquidity protection options
  • Build the toxic-flow framework: markout-based flow classification, counterparty scoring, continuous monitoring, access rules or surcharges for consistently toxic takers
  • Own the program financial model and roadmap: subsidy budget with payback targets; phases bootstrap → organic profitability → self-sufficiency; a market-quality dashboard as the single source of truth

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Trading Desc:

  • Own the strategy roadmap — crypto first, then TradFi FX and futures; design pricing, quoting, hedging, and execution as one portfolio
  • Run end-to-end alpha research on tick/order-book, cross-venue, funding/basis, and on-chain data
  • Design the inventory-aware hedging framework, portfolio risk limits, and parameter governance
  • Partner with engineering on low-latency implementation; validate in high-fidelity simulation and canary deployments
  • Own P&L attribution, TCA/markout analysis, and research standards
  • Lead the TradFi FX entry research workstream (LSEG FX Spot Matching, Euronext FX).

Working terms

  • Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry.
  • Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market.
  • Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations.
  • Drive Innovations: Influence the industry and contribute to groundbreaking solutions.
  • Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best.
  • Work-Life Balance & Well-being:
    • Modern equipment.
    • Comfortable working conditions, and an inspiring environment to help you thrive.
    • 24 calendar days of paid leave.
    • Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!

Let’s Build the Future Together!

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Skills

Quantitative Research
Python
C++
Rust
Market Microstructure
Time-Series Analysis
Probability
Statistics
Order-Book Dynamics
Crypto Trading
TradFi Asset Classes
Risk Management
Tick-Data Engineering
Optimization
Hedging
P&L Attribution

Location

United Kingdom

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