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Hello, we're IG Group, an FTSE 250 Fintech that provides cutting-edge 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're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better products for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently 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 (including the Risk Committee, the Executive Risk Committee and the Board Risk Committee).

We are seeking a Python Model Developer to join a data-driven technical risk management team in designing, developing and deploying quantitative risk models to manage our risk.

Our tech stack is comprised of Python (including Pandas, NumPy & Matplotlib), SQL, MongoDB, GitLab and increasingly GCP. As a team of Risk Analysts & Risk Managers, we are looking for someone who can own the DevOps side of the model lifecycle, as well as re-engineer existing parts of the codebase. We are taking tentative steps, aided by IT, to transition our infrastructure from on-prem servers into GCP to benefit from increased scalability and to leverage the capabilities of Looker & Vertex AI. The successful candidate will represent the Financial Risk Team in these conversations.

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 work within a small (6-person) London-based team with significant exposure to senior management. They will work closely with Model Validation, Regulatory Capital, Finance, Treasury, Credit Operations, Enterprise Data and Technology Teams.

• Design, develop and deploy quantitative risk models in Python to our GitLab-managed servers (including rebuilds of existing models).
• Propose new models not currently running (LGD & PBB) to better manage our risk.
• Automate processes and controls.
• Continuously deploy code changes to refine our risk management.
• Liaise with the 1st line commercial teams to act based on the outputs of our models.

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.

Our delivery approach emphasizes:

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

We believe diversity fuels creativity, drives innovation, and sets us up for success. We are committed to building teams with diverse perspectives and skills. We encourage applications from people with diverse backgrounds and experiences.

Learn more about our D&I approach here.

• Python
• SQL
• GitLab (including deployment pipelines)
• Model development experience within a bank or consulting firm
• A strong understanding/experience with industry-standard risk models (including stress-testing, VaR, expected shortfall, LGD, PD, etc...)

Your growth fuels our success! Thrive with tailored development programs, mentoring, career progression, and more.

• Flexible Benefits Package (12%)
• Private medical cover for you and your family
• Life insurance
• Contribution to gym memberships
• 28 days holiday including birthday and voluntary work days
• Option to buy or sell holiday days
• Unlimited access to LinkedIn Learning
• Comprehensive onboarding
• Employee networks and ESG initiatives
• Enhanced parental leave and support

Learn more about the Perks here!

Join us for this exciting journey.

Apply now!

Number of openings: 1

Job ID R_13653