DevOps Engineer – Quant/Risk Systems Deployment

DevOps Engineer – Quant/Risk Systems Deployment IG Group – City Of London, England, GB

Overview

Hello, we’re IG Group. We are an FTSE250 FinTech that run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We are global with offices in 18 countries and products in 16 regions. We are hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser-focused on increasing the number of active clients we serve to drive sustainable growth. The Financial Risk Team is responsible for the end-to-end management of IG Group’s credit, market, capital and liquidity risk profiles. The Team designs, develops and deploys various industry-standard risk models to help set policy, enforce it and report on it to several committees.

Responsibilities

Your role in the Team’s Success: We are seeking a DevOps Engineer to join a data-driven technical risk management team in designing, developing and deploying pipelines. Our tech stack is comprised of Python (incl. Pandas / Polars, NumPy / Numba, Scipy & Matplotlib), SQL, MongoDB, GitLab, Kubernetes, docker and increasingly GCP. As a team of Quant Risk Analysts, Risk Analysts & Risk Managers, we are looking for someone who can thrive in the DevOps side of the model lifecycle, as well as re-engineer existing parts of the codebase. As the team that owns the Group-wide capital requirements model (and all the downstream reports from it), we have a strong focus on automation and are often fielding requests from various parts of the business to provide data and analysis. The successful candidate will be working within a small London-based team. What you’ll do: Design, develop and deploy high-quality, scalable systems using industry best practices, SOLID principles, design patterns where applicable. Identify, design and implement performance optimisations for data pipelines and processing workflows via GitLab-managed servers (incl. rebuilds of existing quant risk models). Automate processes and controls. Continuous deployment of code changes to refine our risk management. Liaise with the 1st line commercial teams to act based on the outputs of our models.

How we work

We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office – which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:

• Lead and Inspire: Drives trust, alignment, and enthusiasm.
• Think Big: Focus on the problems that most impact commercial outcomes.
• Champion the client: Understand and prioritise client’s needs.
• Deliver at pace: Push for fast, sustainable growth.
• Raise the bar: Take ownership, be accountable and share feedback.

We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We’re committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that’s why we encourage applications from people with diverse backgrounds and experiences to join us on this journey.

What you’ll needAt least 3 years’ experience in DevOps, CI / CD and software development, preferably within FinTech, Banks or Hedge Funds. Understanding of system design architecture and SDLC principles. Proficiency in Python and SQL. Strong analytical and problem-solving skills. Adherence to best practices in Software Engineering and DevOps. Understanding of Agile software development. Algorithmic design and refinement. Real-time data processing, distributed systems and monitoring. Python development: Libraries Pandas, Polars, Numpy, Numba, Scipy. Broad understanding of market data, pricing and risk across several asset classes. Extremely proactive mindset – constantly seeking to learn, improve, optimise and automate processes. Self-starter who can work autonomously whilst knowing when to escalate.

Qualifications

Master’s or Ph.D. in Software Engineering / Financial Engineering / Mathematics / or a numerical discipline.

Perks

• Competitive salary
• Flexible Benefits Package on top of your salary (12%)
• Private medical cover for you and your family
• Life insurance
• Contribution to gym memberships
• 25 days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total)
• Option to buy or sell holiday days
• Unlimited access to the LinkedIn Learning Platform
• A comprehensive global and local onboarding process
• Employee-led LGBTQ+, Women’s, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture
• Option to participate and create ESG initiatives based on IG Brighter Future Fund
• Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, and a range of support and benefits for parents

Join us for this exciting journey.