Risk Reporting & Analytics Lead

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: * Own the architecture, maintenance, and evolution of the software platforms used by the Volatility Risk Management team. * Review, refactor, and enhance Python codebases to improve robustness, scalability, and maintainability. * Develop and maintain backend systems, including pricing engines, market data frameworks, and risk analytics tools. * Build dashboards, user interfaces, and workflow automation tools, including greenfield applications. * Leverage AI agents and automation to improve operational efficiency and risk management workflows. * Partner closely with Risk Managers to industrialise processes and deliver scalable solutions. Your present skillset: * 3+ years of professional software development experience with strong Python expertise. * Experience designing and maintaining production-grade software. * Experience with market data and data-intensive applications. * Experience building APIs and backend services (FastAPI, Flask, or similar). * Knowledge of derivatives, options, risk management, or quantitative systems is a plus. * Experience with frontend frameworks (React, Dash, AG Grid, or similar) is a plus. * Familiarity with modern software architecture, cloud technologies, and AI-assisted development tools. * Strong ownership, attention to detail, and excellent communication skills. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Our Risk team is expanding in London. We are searching for a Junior Risk Manager to join the firm, supporting on a range of risk related tasks, specific to the volatility desk. Your future role at QRT: * Responsible for daily production of risk reports, analytics, and monitoring of trades, identifying issues when they occur and actioning robust solutions. * Reconcile data, pricing and stress testing against trading positions and ensure they are accurate. * Take part in developing the risk management framework strategically to create and maintain a suite of risk metrics that accurately reflect the strategies' risk profile. * Vigilant checks on each running process every day, escalating issues where necessary. * Liaise with all levels of the firm, including senior leadership. * Interact with a wide range of stakeholders including the volatility trading and risk team, wider risk team and operations. Your present skillset: * A Degree in Mathematics, Physics, Statistics, Engineering or an equivalent in other science dis-ciplines * Strong skills in Python and excellent problem-solving skills. * 0-3 years of proven experience within a similar role * Experience in derivatives is advantageous. * Extremely high attention to detail. * Interests in AI is a plus. * Strong communications skills, both written and verbal.

Rothesay

Rothesay is the UK’s largest pensions insurance specialist, purpose-built to protect pension schemes and their members’ pensions. With over £70 billion of assets under management, we secure the pensions of more than one million people and pay out, on average, approximately £300 million in pension payments each month. Rothesay is dedicated to providing excellence in customer service alongside prudent underwriting, a conservative investment strategy and the careful management of risk. We are trusted by the pension schemes of some of the UK’s best known companies to provide pension solutions, including British Airways, Cadbury, the Civil Aviation Authority, the Co-Operative, Morrisons, Smiths Industries and Telent. At Rothesay, we are striving to transform our industry. We believe deeply in creating real security for the future and our leadership in finding new and better ways to do that is the key to our success. To do that, we need the very brightest original thinkers to bring creativity as well as rigour. Rothesay is a rewarding place to work, where quality people can thrive and prosper. We pride ourselves on the connections our people build, many of whom have been with us for over ten years. Job title: Quantitative Engineer Contract: Permanent Under the leadership of the Chief Technology Officer, Rothesay has launched a multi-year project, Project Quest, to redevelop and modernize the full technology stack, encompassing pricing and other analytics, risk management, market data and trade capture and reporting. Project Quest is nearing the end of phase two, which has successfully delivered to production several key components and established the core engineering required for the new platform. As we move into phase three, which will involve multiple and varied projects running in parallel, we have opportunities for a select few new hires to join the Quest team. This is a rare chance to work with and learn from Rothesay’s team of extremely highly regarded, experienced and friendly software engineers. At Rothesay Life every employee has the opportunity to make a real impact to the business. The engineering team are open to new technologies and creative ideas. Responsibilities: * Be part of the team responsible for the major build-out of functionality on the new platform, using a combination of Rust (https://www.rust-lang.org/) and Python * Project including but not limited to: * Trade modelling and pricing * Market data processing * Risk reporting * Scenario analytics tools * Dev Ops / platform engineering * Participate in BAU support rota (shared across Strats and Technology), providing useful opportunities to interact with colleagues across diverse areas of the business Skills & Experience * In general, we are looking for smart, commercial, problem-solving-oriented, “get-things-done” candidates with a proven track record of delivering robust, high performance software and quantitative analyses and with either experience in financial markets or a keen interest to learn about them. * Advanced analytical skills (typically evidenced by a degree in maths, physics, computer science, engineering, etc.) * A deep passion for technology and software development * Excellence in applied programming skills - Python, Rust, C++ or other major languages (experience with the proprietary "securities language" Slang is not expected – but the role may involve some Slang development) * A team player with excellent communication skills Desirable: * Demonstrable, applied expertise in creating and validating pricing and/or risk models for use in a financial services organisation. * Understanding of Fixed Income products and derivatives. * A broad understanding of model risk, bringing new approaches and processes to Rothesay Life. * Python programming experience * Rust programming experience * A track record of contributions to an open source project * Linux/Unix experience * Microsoft Windows experience * Cloud computing experience Inclusion Rothesay actively promotes diversity and inclusivity. We know that our success depends on our people and that by nurturing a culture that values difference, we create a stronger, more dynamic business. We welcome applications from all qualified candidates, regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age.