Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Investment Risk Analyst

Selby Jennings
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Business / Data Analyst - Data Governance

Business / Data Analyst - Data Governance

Alpha Data Services - Data Analyst, Assistant Vice President - State Street Corporation

Master Data Analyst - SAP Ariba

Alpha Data Services, Performance Ready Data Analyst, EMEA Lead, Vice President

Job Title: Investment Risk Analyst Location: LondonEmployment Type: Full-Time About the Role: Our clients are seekingan Investment Risk Analyst to join their team and support theirportfolio and risk management strategies. The ideal candidate willhave a keen understanding of financial markets, risk managementframeworks, and a strong analytical background. This role focuseson identifying, assessing, and mitigating potential risks in theirinvestment portfolios, contributing to strategic decision-makingand helping ensure the long-term success and stability of theirclients' assets. Key Responsibilities: - Risk Assessment: Conductin-depth analysis of financial market trends and macroeconomicindicators to identify risk factors that may impact the company'sinvestment portfolios. - Data Analysis: Analyse large datasets toassess exposure, volatility, credit, market, and operational risksacross different investment products. - Portfolio ManagementSupport: Collaborate with portfolio managers to understand riskexposures within portfolios and recommend adjustments based oncurrent market conditions. - Model Development and Validation:Develop and validate risk models (e.g., Value-at-Risk, stresstesting, scenario analysis) to quantify risk exposures and simulatevarious economic scenarios. - Reporting: Prepare regular and ad hocrisk reports, clearly communicating findings to investment teams,senior management, and stakeholders. Preferred Qualifications: -Bachelor's degree in Finance, Economics, Mathematics, or a relatedfield; Master's degree or CFA/FRM certification preferred. - 4+years of experience in investment risk analysis, financial riskmanagement, or a related field. - Strong proficiency in statisticalanalysis tools and programming languages such as Python, R, SQL, orMATLAB. - Familiarity with financial instruments and derivatives,as well as risk metrics such as VaR, CVaR, and expectedshortfall.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.