Senior Quantitative Analyst – Sports Betting & Bayesian ML

Venture Up

Job Description

An innovative sports betting startup in London is seeking a Senior Quantitative Analyst to develop and improve statistical models. The role demands a strong mathematics background and substantial experience in the sports betting industry. Ideal candidates will have a practical understanding of Bayesian statistics and ML techniques. Strong SQL and Python skills are essential for data analysis and model development.

This position offers career advancement opportunities in a fast-paced startup environment.

Core Responsibilities

  • Model Engineering: Architect and refine advanced predictive models for sports outcomes, market pricing, and liability management.

  • Bayesian Inference: Apply Bayesian statistical methods and MCMC sampling to quantify uncertainty and update probabilities in real-time as match data evolves.

  • Algorithmic Trading Support: Design risk management frameworks to optimize exposure and ensure the long-term sustainability of the betting book.

  • Data Science & Analytics: Clean and process vast datasets of historical sporting events and betting market movements using Python and SQL.

  • Technical Innovation: Evaluate and implement cutting-edge ML techniques, such as Kalman filters or TrueSkill-style ranking systems, to gain a competitive edge in micro-markets.

Requirements

  • Academic Excellence: A Master’s or PhD in a highly quantitative STEM field (Mathematics, Statistics, Physics, or similar).

  • Industry Experience: Proven track record (typically 5+ years) in quantitative research or data science specifically within the sports betting or gambling sector.

  • Mathematical Proficiency: Deep theoretical and applied knowledge of Bayesian statistics and Generalized Linear Models (GLMs).

  • Programming Mastery: Expert-level Python (NumPy, SciPy, PyMC) and SQL; experience with C# or R is a significant advantage.

  • Micro-market Knowledge: Understanding of derivative markets, player props, and in-play betting dynamics.


Job Data Table

Category Details
Company Name Venture Up
Location Greater London, United Kingdom
Locality London (Bromley/Chiswick area)
Country United Kingdom
City London
Region Europe
Job Type Full-time
Salaries £110,000 – £150,000 (Estimated for Senior level)
Experience Level Senior (5+ years)
Travel Minimal
Language English
Benefits Career advancement, startup equity potential, innovative environment

Skills & Competency Table

Key Skill Level
Bayesian Statistics Expert
Python (Data Science Stack) Expert
SQL Expert
Machine Learning (ML) Advanced
Risk Management Modeling Advanced
Sports Market Microstructure Advanced

Salaries Pay Calculator Table

Annual Salary Bonus/Equity (Est.) Total Compensation Notes
£110,000 £15,000 £125,000 Standard senior base for London betting startups.
£135,000 £30,000 £165,000 Competitive package for candidates with niche Bayesian expertise.
£150,000+ Equity Stake £180,000+ Potential for early-hire leadership roles with significant upside.

Job Summary

This Senior Quantitative Analyst role at Venture Up in London focuses on revolutionizing sports betting through Bayesian ML. You will build predictive models for match outcomes and player props, manage trading risk, and modernize modeling technology. Requires 5+ years of experience, expert Python/SQL skills, and a PhD/MSc in a STEM field.


5 FAQs

  • What is the core technical focus? The role heavily prioritizes Bayesian statistics and machine learning applied to sports data.

  • Is remote work available? The role is listed for Greater London; Startups in this sector often offer hybrid flexibility but prioritize local collaboration.

  • What kind of models will I build? You will develop pricing models for core and derivative markets, player props, and risk management systems.

  • Do I need a PhD? While a PhD is highly preferred for Senior Quants, a Master’s degree with significant industry experience is acceptable.

  • What makes this “innovative”? The firm uses advanced techniques like MCMC and Kalman filters to price high-frequency micro-markets in real-time.


Expert Analysis

In 2026, the edge in sports betting has moved from “who wins” to “how it happens” (Micro-markets) . For a Venture Up Senior Quant, the value lies in using Bayesian ML to handle “cold start” problems for niche markets where data is sparse. Real-time probability calibration during live events is the current technical frontier.


Location & Logistics Guide

Located in London, the global center for sports betting and fintech. Venture Up is headquartered in Bromley , providing a balance between the high-tech London ecosystem and suburban accessibility. The area is well-connected to the City and Canary Wharf via Southeastern and Thameslink rail services. Wikipedia URL:https://en.wikipedia.org/wiki/London


Career Path

A Senior Quant in a sports startup often moves into a Head of Quantitative Research or CTO role as the company scales. The deep analytical skills in Bayesian ML are also highly transferable to Hedge Funds or Algorithmic Trading firms specializing in high-frequency market-making and alternative data.

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