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

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

Company Name

Venture Up

Job Title

Java Software Engineer

Job Description

**Job Title:** Java Software Engineer **Role Summary:** Develop and maintain Java-based systems that support systematic trading and data integration for a sports betting hedge fund environment. Work closely with quantitative researchers, mathematicians, and traders to deliver high‑performance APIs, data pipelines, and trading infrastructure. **Expactations:** - Deliver scalable, reliable Java solutions on schedule. - Design and implement data ingestion and processing components. - Integrate external market data and exchange APIs. - Drive code quality through reviews, testing, and documentation. - Collaborate cross‑functionally while working independently. **Key Responsibilities:** - Build and optimize Java microservices for trading, pricing, and risk management. - Design and consume RESTful and streaming APIs (WebSocket, Kafka). - Implement real‑time data ingestion pipelines and perform ETL. - Deploy and manage services on Linux and AWS (EC2, ECS/EKS, RDS). - Conduct unit, integration, and performance testing. - Participate in CI/CD pipeline setup and maintenance. - Monitor, troubleshoot, and troubleshoot production issues. - Mentor junior developers and contribute to architectural discussions. **Required Skills:** - Java (JDK 17+), MVC frameworks, multithreading concurrency. - RESTful and streaming API development. - Proficiency in Python or PHP; basic DevOps knowledge. - Linux environment and shell scripting. - AWS services: EC2, S3, Lambda, ECS/EKS, RDS, IAM. - SQL/NoSQL database design and optimisation. - Strong analytical, debugging, and problem‑solving abilities. - Effective communication and teamwork. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. - Minimum 2 years of professional Java development experience. - (Optional) AWS Certified Solutions Architect or Developer certification.

London, United kingdom

Hybrid

Junior

19-01-2026

Company Name

Venture Up

Job Title

Security Risk Consultant

Job Description

**Job Title:** Security Risk Consultant **Role Summary:** Hands‑on consultant responsible for designing, implementing, and continuously improving a pragmatic security risk management framework within a fast‑growing, global technology organization. Works with technical and non‑technical stakeholders to embed risk controls, automate processes, and provide actionable risk insight for decision‑makers. **Expectations:** - Deliver risk assessments and mitigation recommendations promptly. - Align risk activities with business priorities, regulatory standards, and industry best practices. - Leverage automation and large‑language models (LLMs) responsibly to increase efficiency. - Communicate risk posture clearly to senior leadership and cross‑functional teams. **Key Responsibilities:** - Operate and evolve a security risk management framework covering cloud, product, and operational environments. - Conduct security risk assessments (incl. cloud services) and propose practical treatment options. - Identify gaps in existing processes and implement improvements, including automation and tooling. - Integrate risk management into agile project delivery and GRC workflows. - Define, track, and report security risk metrics to enhance transparency and maturity. - Develop and maintain security awareness and risk‑management training content. - Utilize LLMs for rapid risk analysis, documentation, evidence review, and stakeholder communication. **Required Skills:** - Proven experience in security risk management within fast‑paced tech organizations. - Strong ability to build, implement, and refine risk processes and controls. - Hands‑on experience assessing risk in cloud environments (e.g., AWS, Azure, GCP). - Familiarity with agile development and modern engineering practices. - Ability to define meaningful security metrics and produce executive‑level risk reports. - Working knowledge of frameworks/standards such as PCI‑DSS, NIST, ISO 27001, SOC 2. - Practical experience applying LLMs to security risk activities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Security, or a related field (or equivalent experience). - Preferred certifications: CISM, CRISC, CISA, CISSP (not mandatory).

London, United kingdom

Hybrid

02-02-2026