About IG Group IG is a FTSE 100 fintech operating across five continents, serving over 1.3 million customers and handling billions of dollars in transactions. The company focuses on complex problem‑solving, providing the technology and resources necessary to tackle them and the scope that is rare in established businesses. Achievements and culture – IG’s core values—Champion the Client, Learn Fast Together, and Raise the Bar—drive a commitment to innovative technology and exceptional client outcomes. Job Title Senior Manager, Financial Risk Job Description As a technically exceptional and commercially sharp senior manager, you will own IG’s quantitative market risk framework. Your responsibilities include building, enhancing, and governing key risk models (VaR, Expected Shortfall, prudential stress testing, bespoke credit risk stress tests) and driving the evolution of risk technology in the cloud. This is a player‑manager role that blends hands‑on coding with leadership. You will serve as deputy to the Head of Financial Risk, stepping up to lead the function when required. Key Responsibilities

Own end‑to‑end design, build, validation, and enhancement of critical risk models, producing production‑quality code. Apply advanced quantitative techniques: time‑series analysis, volatility modelling (GARCH, EWMA), correlation modelling, copulas, and machine learning for regime detection, volatility forecasting, and anomaly detection. Maintain a rigorous model validation framework, including back‑testing, P&L attribution, and statistical performance testing. Lead model governance, owning documentation, presenting to the Risk Committee, and responding to regulatory and audit requirements.

Stress Testing & Scenario Analysis

Design, build, and maintain a comprehensive stress‑testing suite in Python for historical, hypothetical macro‑economic, and reverse stress tests. Evolve stress‑test methodologies in response to market changes, new products, and regulatory updates. Deploy and schedule stress‑testing pipelines in the cloud (AWS, GCP, Azure), ensuring scalability, reliability, and auditability. Translate outputs into clear, actionable narratives for senior leadership and the Risk Committee.

Cloud‑Based Risk Infrastructure

Lead migration and development of risk models and pipelines onto cloud infrastructure in partnership with Risk Technology and Data Engineering. Write clean, well‑documented, version‑controlled Python code to build and deploy risk models as scalable cloud services. Automate manual risk processes, improving speed, accuracy, and analytical coverage. Contribute to technical architecture decisions, bringing quantitative depth to data, tooling, and infrastructure conversations.

Real‑Time Market Risk Management

Monitor real‑time market risk exposures across equities, FX, commodities, rates, and crypto, focusing on Greeks, sensitivities, and concentration risk. Provide quantitative insight to Trading and senior leadership, acting as a genuine partner to the business. Oversee hedging strategy analysis, evaluating effectiveness and recommending data‑driven optimisations. Serve as the firm’s foremost expert on derivatives pricing and risk sensitivities for listed and OTC instruments.

Product Partnership & New Business Risk

Partner with Product, Trading, and Commercial teams on new product launches, assessing market‑risk implications and defining risk parameters before go‑live. Develop quantitative frameworks to evaluate the risk profile of new asset classes, products, and markets being considered. Proactively translate complex quantitative analysis into commercially relevant insight that enables product and business development.

Player‑Manager Leadership

Contribute directly to model builds and quantitative work while coaching and developing the team. Act as deputy to the Head of Financial Risk, assum­ing full leadership of the function when required. Set high standards for technical excellence, commercial thinking, pace, and partnership within the team. Mentor junior and mid‑level quants, building capability in quantitative methods and Python engineering.

Governance & Regulatory

Maintain compliance with global regulatory requirements (FCA, BaFin, NFA, etc.). Partner with Finance, Compliance, and Legal on reporting obligations and external engagements. Contribute to IG’s risk appetite framework and escalation protocols.

Key Deliverables & Outcomes

Own and continuously improve a best‑in‑class risk modelling suite, fully documented and regularly validated. Deliver a cloud‑deployed, Python‑built stress‑testing framework. Lead the integration of machine learning into at least one quantitative risk domain within 12 months. Improve the speed, automation, and analytical depth of market risk monitoring and reporting. Act as an effective deputy Head of Financial Risk, maintaining quality and continuity of output. Raise team capability through active player‑manager coaching and knowledge sharing. Support successful risk sign‑off for new product launches, acting as a trusted quantitative partner.

Professional Experience

Significant experience in quantitative risk, model risk, or front‑office quant roles at a hedge fund, proprietary trading firm, or investment bank. Proven track record of building critical risk models, including full validation, back‑testing, and governance ownership. Strong, production‑quality Python development skills with version control and testing frameworks. Experience building/deploying models in a cloud environment (AWS, GCP, or Azure). Applied machine learning in quantitative risk or financial modelling contexts. Deep expertise in derivatives pricing and risk sensitivities across multiple asset classes. Experience designing and building stress‑testing frameworks, including scenario design and methodology documentation. Collaborative experience partnering with business or product teams on risk assessment for new instruments or market entrants. Demonstrated ability to operate in a player‑manager capacity. Degree in a quantitative discipline; CFA, FRM, or PRM advantageous.

Skills & Attributes

Exceptional quantitative depth, able to build, own, and critically challenge complex risk models at the code level. Strong Python engineering capability, comfortable with version control, testing frameworks, and data engineering collaboration. Machine learning fluency, capable of applying relevant techniques to risk problems. Strong commercial instinct, translating highly technical outputs into business‑relevant insight and recommendations. A natural player‑manager and role model: technically credible, commercially minded, leading by example. Confident communicator, presenting complex quantitative topics clearly to non‑technical senior stakeholders and regulators. Energised by a fast‑paced, high‑accountability environment where delivery is expected. Embodies IG’s performance principles: Lead and Inspire, Think Big, Champion the Client, Deliver at Pace, and Raise the Bar.

Why IG Group?

Build Something Real: own and improve quantitative risk infrastructure from code to deployment. Player‑Manager Autonomy: remain technically hands‑on while leading with a deputy mandate. Career Trajectory: clear path to Head of Financial Risk or CRO in a FTSE 100 fintech. Competitive Reward: top‑tier base salary, performance bonus, LTIP participation, and comprehensive benefits.

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