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

Apply Now

Risk Analyst - Equities

Millennium Management, LLC
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst - AML Risk Intelligence

Data Scientist - Risk Analysis

Data Analyst

Credit Risk Data Analyst

Senior Credit Risk Data Analyst

Wholesale Credit Risk Data Analyst – AVP – Belfast

Risk Analyst - EquitiesWe employ a global multi-strategy investment approach, opportunistically engaging in a broad array of trading and investing strategies across a wide group of diversified managers.Our specialized divisions have built and continually evolve our core infrastructure platform. This enables our trading teams to independently pursue unique investment strategies within one centrally-driven risk and operational framework.Millennium has differentiated itself from other alternative investment management firms through our consistent ability to generate high quality returns for our investors.Millennium's unique framework has created what we believe to be a sustainable and scalable organization aligned in partnership with our investors. Our dedication to our mission has defined Millennium as an industry leader over our 30-year history.CareersOur Firm harnesses the entrepreneurial drive of our people, who are critical to the success of the organization. We seek to attract, develop and retain the best talent in the industry. We offer an opportunity for developing your career by working with a leadership team that has years of industry experience across a variety of disciplines. We encourage our personnel to work together in a collegial and collaborative team-based environment. We empower them to act like owners by making decisions based on a combination of rigorous analysis and an open, creative mindset. This enables us continuously to improve our day-to-day activities, and ultimately the Firm as a whole.RoleThe Firm seeks a Risk Analyst to join the EMEA Equities Risk team. The Risk team, among other things, is responsible for the following:Understanding the portfolio's risk structure and PnL driversInteracting effectively with PMs, traders, and core constituentsManaging and monitoring PM risk mandatesInterviewing PM candidates and drafting notesDesigning, reviewing, and maintaining PM risk limitsConducting risk, performance, and stress analysesRefining and improving the Firm's risk processes, systems, and infrastructure.Qualifications, Skills & RequirementsBuy-side or sell-side experience in Front Office (preferred) or Risk, with a focus on Equities or Equity Derivatives is desirableSTEM, economics, or finance degrees preferredMinimum of 2:1 grade or higherSkills in applied mathematics are desirableSome experience in quantitative or statistical modeling is essentialProgramming experience in Python, C/C++, Java, Rust, or another language is desirableStrong attention to detail and common-sense thinkingHardworking, friendly, honest, and enthusiastic#J-18808-Ljbffr

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.

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.

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.

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.