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

Apply Now

Global Investment Research, Equity Research, Banks, Vice President, London

Goldman Sachs
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst, Multinational Investment Bank, London, UK

L/S NLP/ML Engineer – London

L/S Data Engineer – London

Graduate: Sustainability Data Analyst

Graduate: Sustainability Data Analyst

Data Engineer

GLOBAL INVESTMENT RESEARCH

Goldman Sachs develops global client-focused research in economics, portfolio strategy, derivatives and equity and credit securities. The Global Investment Research division produces fundamental, value-added research and analysis of industries, companies and economies, mining big data that enters markets around the world each day to identify game-changing insights. Our clients use these insights and investment ideas to develop their strategies. We deliver original, client-focused research in the equity, fixed-income, currency, and commodities markets.

Our research teams continually identify and analyse financial information, strategic issues and trends on a regional and global scale. From macroeconomic forecasts to individual stock analysis, our team develops tools and insights to help shape investment strategies for clients and the firm.
ROLE SUMMARY

The successful candidate will be responsible for covering companies in the Banks sector, analysing companies and stocks within the sector and the factors that affect the industry as a whole.

RESPONSIBILITIES

  1. Assuming primary coverage of a range of Banks companies
  2. Publishing regular industry and company-specific reports on the European Financials sector
  3. Ongoing and high-frequency interaction with the external investing client base
  4. Regular interaction with internal clients including Equity Sales, Sales-Traders and Traders.
  5. Managing relationships with covered Banks companies
  6. Facilitating client-corporate interaction through forums, events and conferences
  7. Responding to ad hoc requests from external clients and internal counterparts
  8. Building, maintaining and updating company and industry models

EXPERIENCE & SKILLS REQUIRED

  1. >6 years of relevant experience in Equity Research, investing, consulting, or any other closely related role
  2. Strong knowledge of European equities, with expertise in the European Banks sector an advantage
  3. Thorough understanding of financial statement analysis and equity valuation frameworks
  4. Excellent verbal and written communication skills
  5. Meticulous attention to detail, strong analytical and organizational skills
  6. Strong interpersonal skills and willingness to collaborate with broader team
  7. Robust compliance track record
  8. FCA registration required (must be obtained within first six months of employment)
ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.

The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

#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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.