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

Goldman Sachs
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst Team Lead

Lead Data Engineer (GCP)

Lead Data Engineer (GCP)

Data Engineer

Lead Data Engineer - Azure Synapse

Principal, AI Data Scientist

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.