Venture Up

About the Company

Venture Up is more than just another tech recruiter. By matching exceptional tech talent with ambitious technology ventures, we power your growth. Whether you’re looking to step up your career or build up your tech, design or product team, Venture Up’s expertise in technology recruitment will create the connections you need to grow your business.

We combine our expertise with two things we love: building companies and helping people get awesome jobs. Let us help you move up and venture out to achieve your goals.

Whether you’re a company disrupting the tech space, a vibrant growing business or one of the talented people that work there; you give us a reason to come to work every day. This is our passion, and because of this we have a constant commitment to the best quality of service, combined with an approach underpinned by transparency, honesty, and a genuine consultative service.


hello@venture-up.co.uk
0203 883 4600

Listed Jobs

Company Name

Venture Up

Job Title

Research Developer

Job Description

Job Title: Research Developer Role Summary: Develop, implement, and maintain systematic trading strategies for a hedge fund; collaborate with quantitative researchers and support operational execution and monitoring. Expectations: Deliver high‑quality code, optimize models, and contribute to strategy performance; maintain rigorous data integrity; engage proactively with market dynamics and operational workflows. Key Responsibilities - Design, code, and back‑test systematic trading models using Python. - Optimize model performance and maintain scalable data pipelines. - Analyze strategy results, diagnose issues, and iterate on algorithmic improvements. - Support real‑time execution and post‑trade monitoring in live trading environments. - Integrate large, unstructured datasets and perform market‑structure analytics. - Collaborate with traders, researchers, and senior engineers to refine trading signals. Required Skills - Advanced Python programming (NumPy, Pandas, SciPy). - Strong quantitative analysis and statistical modeling. - Experience with Linux operating systems. - Ability to work with large, complex datasets. - Excellent problem‑solving, detail orientation, and communication skills. Required Education & Certifications - Advanced degree (MSc/PhD) in quantitative discipline: mathematics, statistics, physics, engineering, or computer science. - Relevant certifications (e.g., CFA, FRM) are a plus but not mandatory.

Oxford, United kingdom

On site

10-11-2025

Company Name

Venture Up

Job Title

Python Developer

Job Description

**Job Title** Python Full‑Stack Developer **Role Summary** Develop and maintain asynchronous Python backend services and responsive TypeScript/React front‑end features for a sports‑betting brokerage platform. Work collaboratively with quantitative researchers and engineering peers to support systematic trading models in a Linux‑centric, containerized environment. **Expectations** Deliver clean, well‑tested, high‑performance code; participate in Agile ceremonies (Scrum, GitLab, Jira); contribute to architecture design and platform scalability. **Key Responsibilities** - Build and extend RESTful APIs using FastAPI. - Design and implement responsive UI components with React and TypeScript. - Integrate with external betting and financial data providers via HTTP and WebSocket. - Manage relational data in PostgreSQL. - Containerize services with Docker, orchestrate with Kubernetes. - Monitor and optimize application performance. - Write unit and integration tests; maintain CI/CD pipelines. - Collaborate on code reviews and pair programming. **Required Skills** - 2+ years Python (asyncio, aiohttp, FastAPI). - 2+ years front‑end development (React, modern JS/TS). - HTML5, CSS3, build tools (Webpack, Vite). - PostgreSQL (or similar RDBMS). - Linux environment; Git version control. - REST API design. - Experience with Docker, Kubernetes, CI/CD. **Desirable Add‑ons** - AWS or cloud platform familiarity (ECS/EKS, S3, RDS). - WebSocket real‑time data handling. - DevOps tooling (Ansible, Helm). - Data science libraries (pandas, numpy, matplotlib). - Modern C++ (C++17+). **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. ---

London, United kingdom

Remote

Junior

14-11-2025

Company Name

Venture Up

Job Title

Quantitative Researcher

Job Description

**Job title:** Quantitative Researcher **Role Summary:** Develop, refine, and deploy advanced statistical and machine learning models to analyze sports betting markets and support risk management decisions. **Expectations:** - Minimum 2 years of experience building predictive models in the sports betting domain. - Strong quantitative background with proficiency in Bayesian statistics, MCMC, GLMs, Kalman filters, and TrueSkill ranking. - Familiarity with sports modeling literature and, ideally, casino slot modeling. **Key Responsibilities:** - Acquire, clean, and preprocess raw sports and betting data. - Design, implement, and maintain ML and statistical models for forecasting and risk assessment. - Conduct statistical inference to understand market behaviour and customer trends. - Collaborate with data engineering and product teams to integrate models into operational workflows. **Required Skills:** - Bayesian statistics, MCMC, GLMs, Kalman filters, BMMs, TrueSkill ranking. - Programming: Python or R; SQL for data manipulation. - Data cleaning, exploratory analysis, and feature engineering. - Version control and reproducible research practices. **Required Education & Certifications:** - Bachelor's or Master’s degree in Mathematics, Statistics, Econometrics, Computer Science, Physics, or a closely related quantitative field from a recognized university.

London, United kingdom

Hybrid

Junior

24-11-2025

Company Name

Venture Up

Job Title

Quantitative Analyst

Job Description

Job title: Quantitative Analyst Role Summary: Lead the design, development, and deployment of advanced statistical and machine learning models to drive insights and risk management for a sports betting platform. Operate independently on new modeling initiatives, delivering high‑quality, production‑ready solutions. Expactations: • 5+ years of quantitative analysis or data science experience in sports betting or related domain. • A mathematics‑oriented degree from a recognized university (top tier preferred). • Strong background in Bayesian methods, MCMC, GLMs, sports model literature, and predictive modeling for betting markets. Key Responsibilities: • Autonomously build, refine, and maintain machine‑learning and statistical models for risk and market analysis. • Clean, transform, and process raw data feeds from multiple sports sources. • Generate inferences on betting markets and customer behavior to support product and pricing decisions. • Communicate model results and recommendations to stakeholders. • Collaborate with engineering to ensure model scalability and performance. Required Skills: • Bayesian statistics, MCMC, GLMs, Kalman filtering, BMMs, TrueSkill ranking system. • Proficiency in SQL and Python or R (with related libraries). • Experience delivering models into production pipelines. • Strong analytical, problem‑solving, and communication skills. Required Education & Certifications: • Bachelor's or higher in Mathematics, Statistics, Applied Mathematics, or related field from a top university. • Optional certifications in data science or machine‑learning (e.g., TensorFlow, PyTorch, SAS).

London, United kingdom

Hybrid

Mid level

24-11-2025