Engineering at hyperexponential At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions-whether it's calculating the cost to insure a global superstar's concert tour or protecting entire states from natural disasters. With hx Renew, insurers More ❯
Engineering at hyperexponential At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions-whether it's calculating the cost to insure a global superstar's concert tour or protecting entire states from natural disasters. With hx Renew, insurers More ❯
Engineering at hyperexponential At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions-whether it's calculating the cost to insure a global superstar's concert tour or protecting entire states from natural disasters. With hx Renew, insurers More ❯
recommend solutions to stakeholders. Qualifications and skills include: Good understanding of Python (or other language) and SQL. Ability to work with large and complex data sets. Comfortable interfacing with mathematical models. Some skills in using an ETRM and understanding the trade lifecycle are highly regarded. Self-starter able to work with limited guidance. Team-player with ability to achieve More ❯
Engineering at hyperexponential At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions-whether it's calculating the cost to insure a global superstar's concert tour or protecting entire states from natural disasters. With hx Renew, insurers More ❯
more ownership and contribute meaningfully to impactful projects. You will report to the Senior Commercial Data Science Manager. This role is ideal for someone with a strong background in mathematicalmodelling, statistics, economics, or optimisation who if eager to tackle high-impact, system-level decisions in the aviation industry. You will: Collaborate with senior/lead data scientists … production pipelines and dashboards. Collaborate with Network and Scheduling Planning, Operations, Trading and Revenue Management, Inflight Retail, and IT teams to gather requirements and translate business problems into solvable mathematical models. Communicate findings and recommendations clearly, both in technical detail and at a business level. Contribute to the improvement of internal tools and codebases used across the Commercial Data … production pipelines and dashboards. Collaborate with Network and Scheduling Planning, Operations, Trading and Revenue Management, Inflight Retail, and IT teams to gather requirements and translate business problems into solvable mathematical models. Communicate findings and recommendations clearly, both in technical detail and at a business level. Contribute to the improvement of internal tools and codebases used across the Commercial Data More ❯
with the Tech Lead and support the full ML lifecycle - from training to deployment - using AWS SageMaker and modern DevOps practices. This is an engineering-focused role, not a mathematical modeling one. What Youll Do Build and maintain ML pipelines using SageMaker for training and deployment. Work with data scientists to productionise models and manage deployments. Develop tools and More ❯
Engineering at hyperexponential At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions-whether it's calculating the cost to insure a global superstar's concert tour or protecting entire states from natural disasters. With hx Renew, insurers More ❯
Strategic Solutions Architect Our Mission hyperexponential is taking the traditional insurance industry by storm with our SaaS platform hx Renew, which insurers use to build complex mathematical models to make better pricing decisions faster - decisions like "how much should I charge Adele to insure her worldwide concert tour?" or " how much should I charge California to insure all of More ❯
your area of contribution, your ideas will have measurable effect on our business and for our clients. JOB DUTIES • Work as a Quantitative strategist to build, enhance and analyze mathematical models designed to compute various liquidity and risk metrics. • Design and build mathematical models that attribute spot metrics and project future requirement, produce quantitative analytics on historical metrics … explain model behavior. QUALIFICATIONS • Bachelor's degree minimum, Masters or PHD preferred • Strong analytical skills to perform complex functional and technical analyses • Strong communication skills RELEVANT PRIOR EXPERIENCE • Developing mathematical models in one of the following: Python, C++ or Java. • Developing financial pricing models in any asset class. • Maintaining a production code base and daily production processes. • Preparing and … submitting technical documents to support the validation of mathematical models. • Working with techniques of optimization, statistical analysis, including parameter estimation. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management More ❯
to join a Global Investment bank in London as a key member of the FICC Quantitative team. You'll play a critical role in the development and support of mathematical models and analytical tools used by the FX trading desk. You'll be part of a core development and support team responsible for integrating in-house quant libraries into … traders, risk, product control, and IT. Contribute to the proof-of-concept and delivery phases of new risk systems replacing existing third-party tools. Required Qualifications & Skills: Education in Mathematical Finance, Mathematics, Physics, Engineering, or a related quantitative discipline (PhD preferred). Strong knowledge of derivative pricing models, ideally across FX and exotics (experience with linear products also accepted … next 2-3 years. The successful candidate will be expected to join before September to align with team bonus cycles. This is a critical role requiring a balance of modelling expertise and front-office support experience. Due to the high demand of applications only those who meet the requirements for this role will be contacted at this time. Please More ❯
team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for … sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches … SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Strong background in mathematics, statistics, or a related quantitative field Experience in developing mathematical models to predict real-world outcomes Proficiency in numerical implementation and computational methods How to Apply: Please register your interest by sending your CV to Emily Burgess via the More ❯
team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for … sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches … SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Strong background in mathematics, statistics, or a related quantitative field Experience in developing mathematical models to predict real-world outcomes Proficiency in numerical implementation and computational methods How to Apply: Please register your interest by sending your CV to Emily Burgess via the More ❯
Apply and advocate for software engineering best practices including testing and CI/CD Contribute to system reliability, performance optimisation, and maintainability improvements Collaborate with optimisation engineers to implement mathematical models in code Participate in technical design reviews Required Experience 4+ years of software development experience Experience building Python-based systems and deploying to production Demonstrated ability to work … practices including testing and CI/CD Experience working with APIs and data processing Familiarity with cloud platforms (preferably Azure) Nice-to-have Experience mentoring junior engineers Experience with mathematical optimisation techniques including MILP and LP Experience with Rust Understanding of distributed systems What we can offer you: Competitive salary based on skills and experience Stock Options so when More ❯
Apply and advocate for software engineering best practices including testing and CI/CD Contribute to system reliability, performance optimisation, and maintainability improvements Collaborate with optimisation engineers to implement mathematical models in code Participate in technical design reviews Required Experience 4+ years of software development experience Experience building Python-based systems and deploying to production Demonstrated ability to work … practices including testing and CI/CD Experience working with APIs and data processing Familiarity with cloud platforms (preferably Azure) Nice-to-have Experience mentoring junior engineers Experience with mathematical optimisation techniques including MILP and LP Experience with Rust Understanding of distributed systems What we can offer you: Competitive salary based on skills and experience Stock Options so when More ❯
