Machine Learning jobs in United States

Location: Edinburgh or London

Working Pattern: Hybrid

Contract: Permanent

We are seeking an Analyst to join our fully functioning Product Control team, responsible for providing oversight of modeling risk across FNZ Group. This role offers the opportunity to collaborate with key stakeholders, enhance risk frameworks, and contribute to the financial performance and strategy of the organization.

• Provide oversight of modelling risk across FNZ Group.
• Partner with risk managers and financial controllers to implement and maintain robust control frameworks.
• Partner with modelling teams to enhance capability, accuracy and usability of models.
• Monitor and reconcile financial product valuations, identifying and resolving discrepancies.
• Validate pricing models for financial instruments and ensure alignment with accounting and regulatory standards.
• Evaluate the financial performance of products and provide actionable insights to drive business strategy.
• Oversee financial risk models, primarily business plan and customer profitability models as well as credit, market, operational, and liquidity risk models.
• Conduct scenario analysis, stress testing, and sensitivity analysis to assess and predict financial risks including input into regulatory processes/reporting.
• Provide regular reports and insights to senior leadership, highlighting emerging risks and their potential impact.
• Model Risk Management - Formulation of guidelines/policy, laying down of roadmap, establishment of model risk governance including frameworks, validation, inventory management, attestations and optimization.
• Program/Delivery Management – Create project plans and coordinate with key stakeholders.
• Collaborate with stakeholders to integrate advanced analytics and machine learning into risk modeling processes.

• Bachelor’s or master’s degree in finance, Economics, Mathematics, Engineering, or a related field.
• Qualified accountant.

• Experience in financial risk modeling, product control, or a similar role in banking, financial services, or fintech.
• Strong understanding of financial instruments, derivatives, and risk management principles.

• Advanced knowledge of Excel and experience with financial systems (e.g., Bloomberg, Reuters, or similar).
• Familiarity with accounting principles (e.g., IFRS, GAAP) and regulatory requirements (e.g., Basel III, IFRS 9).
• Statistical Techniques: Linear & Logistic Regression, Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms.
• Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling.

• Strong analytical and problem-solving skills with attention to detail.
• Ability to work collaboratively in a fast-paced and dynamic environment.

If you are a detail-oriented professional with a passion for risk management, financial modeling, and driving business insights, this role offers the perfect opportunity to make a significant impact within a dynamic and innovative organization.

Application deadline: 31/01/2025

FNZ is committed to opening up wealth so that everyone, everywhere can invest in their future on their terms. We know the foundation to do that already exists in the wealth management industry, but complexity holds firms back.

We created wealth’s growth platform to help. We provide a global, end-to-end wealth management platform that integrates modern technology with business and investment operations. All in a regulated financial institution.

We partner with over 650 financial institutions and 12,000 wealth managers, with US$1.5 trillion in assets under administration (AUA).

Together with our customers, we help over 20 million people from all wealth segments to invest in their future.