FINANCIAL SERVICES INDUSTRY INTERN (FSI GTM)

Snowflake
London
1 month ago
Create job alert

Build the future of the AI Data Cloud. Join the Snowflake team.

There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.

We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for themselves and Snowflake. The Financial Services Go-to-Market (FSI GTM) team is seeking a motivated intern to support research, operations, and data technology initiatives. This role offers a unique opportunity to contribute to Snowflake’s growth in the financial services sector while gaining hands-on experience in an innovative environment.

WHAT WE OFFER:

Paid, full-time internships in the heart of the software industry.

Post-internship career opportunities (full-time and/or additional internships).

Exposure to a fast-paced, fun, and inclusive culture.

A chance to work with world-class experts on challenging projects.

Opportunity to provide meaningful contributions to a real system used by customers.

High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation.

WHAT WE EXPECT:

Must be actively enrolled in an accredited college/university program during the time of the internship.

Desired Class Level: Junior, Senior, or Graduate.

Desired Majors: Business, Data Science, Finance, Computer Science, or related fields.

Required Coursework: Foundational courses in data analytics, business, or finance.

Recommended Coursework: Advanced courses in data visualization, cloud computing, or machine learning.

Bonus Experience: Familiarity with SQL, Python, Snowflake, or similar data platforms.

WHAT YOU WILL LEARN / GAIN:

Research and analysis of financial services trends, including regulatory compliance, ESG initiatives, and Open Banking.

Hands-on experience with Snowflake’s data platform and its applications in financial services.

Exposure to sales enablement, operational workflows, and cross-functional collaboration.

Insights into cutting-edge technologies like AI/ML and data sharing ecosystems.

POSSIBLE TEAMS / WORK FOCUS AREAS:

Research: aggregate & Analyze industry trends, emerging technologies, and competitor activities to support GTM strategies.

Operations: Curate insights, track initiatives, and optimize internal workflows including improving global best practice.

Data Technology: Assist in creating and testing industry asset like demos, solutions, workflows for use cases including regulatory reporting, fraud detection, and ESG initiatives.

AI:support AI program adoption activities in FSI.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

Related Jobs

View all jobs

Lead Collections / Debt Recovery Analyst - Consumer Lending

Global Technology Strategy - Executive Director (UK), Greater London

Enterprise Account Executive

Azure Enterprise Data Architect | London | Insurance

Open Banking & Open Finance Regulatory Specialist

Head of AI and Capacity Creation - CFT

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.