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Gr8tech·14 days ago
14 days ago

Senior Quantitative Analyst/ Sports Betting Mathematician

AnywhereRemoteSenior · 5+ yearsQuantitative Analyst

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Must-have skills for this role

  • python
  • probabilistic and statistical modelling
  • pricing models
  • sql

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Apply faster with autofill FREEgr8tech uses Greenhouse - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Own the design, development, and calibration of pre-match and in-play pricing models, BetBuilder models, and Cashout for assigned sports verticals (e.g. football, tennis, basketball, esports).
  • Derive full market trees from core model outputs — match odds, handicaps, totals, correlated derivatives, player props, and same-game multiples — with internally consistent probabilities.
  • Model live scenarios where state changes matter: in-play score, time decay, red cards, momentum, injury and substitution effects, service games, possession-based simulation.
  • Extract fair probabilities from competitor and exchange prices (margin removal / de-vigging) and blend market-implied signals with in-house model output.
  • Define and maintain liability limits, exposure thresholds, and automated risk-mitigation rules across markets and events.
  • Run Monte Carlo simulation of book outcomes to quantify tail risk on major events and accumulator/multiples exposure.
  • Support the trading floor during high-liability events with real-time analysis and price recommendations.
  • Set the quantitative roadmap for assigned verticals in partnership with Trading and Product leadership.
  • Partner with Engineering to productionise models into low-latency pricing services, and define monitoring and alerting requirements.

What they're looking for

  • 5+ years of quantitative analysis experience, including 3+ years in sports betting, betting exchange, or sports trading/analytics.
  • Expert-level probabilistic and statistical modelling skills.
  • Expert Python skills for modelling and production code.
  • Strong experience in sports-specific model design, including ratings, simulations, and in-play models.
  • Experience with both pre-match and in-play pricing.
  • Advanced knowledge of bookmaking economics, margin strategy, risk, liability, and exposure management.
  • Advanced SQL and experience handling large-scale datasets.
  • Experience developing, validating, and deploying models into production with measurable commercial impact.
  • Machine learning knowledge and understanding of low-latency/streaming systems.
  • English proficiency at B2+ level.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

GR8_TECH builds B2B iGaming platforms for operators who play to lead.

We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.

With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.

Our ambition drives us. Our people make it real.

If you’re a challenger in spirit and a champion in action — join us.

Why this role exists:

The role exists to own the mathematical models that price sportsbook markets and manage the book's risk exposure. The Senior Quantitative Analyst sits at the intersection of statistical modelling, sports domain expertise, and commercial trading judgement to build and calibrate pre-match and in-play pricing models, set margin and liability frameworks, and turn betting and market data into a measurable pricing edge. At the senior/lead level, the scope includes setting the modelling direction for assigned sports verticals, defining model quality metrics, acting as a technical authority, and mentoring mid-level and junior quants.

What you’ll drive:

Model development and market pricing
  • Own the design, development, and calibration of pre-match and in-play pricing models, BetBuilder models, and Cashout for assigned sports verticals (e.g. football, tennis, basketball, esports).
  • Derive full market trees from core model outputs — match odds, handicaps, totals, correlated derivatives, player props, and same-game multiples — with internally consistent probabilities.
  • Model live scenarios where state changes matter: in-play score, time decay, red cards, momentum, injury and substitution effects, service games, possession-based simulation.
Risk management and market analysis
  • Extract fair probabilities from competitor and exchange prices (margin removal / de-vigging) and blend market-implied signals with in-house model output.
  • Define and maintain liability limits, exposure thresholds, and automated risk-mitigation rules across markets and events.
  • Run Monte Carlo simulation of book outcomes to quantify tail risk on major events and accumulator/multiples exposure.
  • Support the trading floor during high-liability events with real-time analysis and price recommendations.
Strategy, productionisation, and leadership
  • Set the quantitative roadmap for assigned verticals in partnership with Trading and Product leadership.
  • Partner with Engineering to productionise models into low-latency pricing services, and define monitoring and alerting requirements.

What makes you a GR8 fit:

Must-have

  • 5+ years of quantitative analysis experience, including 3+ years in sports betting, betting exchange, or sports trading/analytics.
  • Expert-level probabilistic and statistical modelling skills.
  • Expert Python skills for modelling and production code.
  • Strong experience in sports-specific model design, including ratings, simulations, and in-play models.
  • Experience with both pre-match and in-play pricing.
  • Advanced knowledge of bookmaking economics, margin strategy, risk, liability, and exposure management.
  • Advanced SQL and experience handling large-scale datasets.
  • Experience developing, validating, and deploying models into production with measurable commercial impact.
  • Machine learning knowledge and understanding of low-latency/streaming systems.
  • English proficiency at B2+ level.

Why you’ll love working here: 

Benefits Cafeteria — annual budget you allocate to:

Sports • Medical • Mental health • Home office • Languages.

Work-life & support

  • Paid maternity/paternity leave + monthly childcare allowance.
  • 20+ vacation days, unlimited sick leave, emergency time off.
  • Remote-first + tech support + coworking compensation.
  • Team events (online/offline/offsite).
  • Learning culture with internal courses + growth programs.

Our culture & core values:

GR8_TECH culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

FUELLED BY TRUST: we’re open, honest, and have each other’s backs.

OWN YOUR GAME: we take initiative and own what we do.

ACCELER8: we move fast, focus smart, and keep it simple.

CHALLENGE ACCEPTED: we grow through challenges and stay curious.

BULLETPROOF: we’re resilient, ready, and always have a plan.

Company

Gr8tech
Anywhere

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Gr8tech's careers site·first seen 8 Sept 2026·last verified 8 Sept 2026·How we source jobs

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