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

Apply Now

Quantitative Analyst - Internship

Perspective Invest
10 months ago
Applications closed

Related Jobs

View all jobs

Baseball Analyst/Data Scientist

Junior Developer/Analyst, Data Science and Analytics - Macquarie Group

Data Scientist/Analyst - NESO

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Data Scientist/Analyst - NESO

Quantitative Analyst Internship - Finance Industry


Company: Perspective Invest Limited

 

Position Overview:


We are seeking a highly motivated and detail-oriented individual for a Quantitative Analyst Internship position at Perspective Invest Limited. As part of our dynamic team, you will have the opportunity to develop and implement cutting-edge quantitative models that drive our investment strategies. If you are passionate about finance and eager to apply your data analysis and programming skills in a real-world setting, this is the perfect opportunity for you!

 

Key Responsibilities:

 

-       Analyze complex financial data to optimize algorithms and produce insightful reports.

-       Collaborate with cross-functional teams to define, design, and implement new financial models.

-       Develop, test, and maintain high-quality code in our models and systems, ensuring robustness and scalability.

-       Integrate external data sources and APIs to enhance our data analytics capabilities.

-       Stay up-to-date with the latest trends in machine learning and LLMs.

-       Document code and system functionalities for internal and external stakeholders.

 

Qualifications:


-       Currently pursuing a degree or recent graduate in Computer Science, Finance, Mathematics, Physics or a related field.

-       Strong proficiency in Python programming, with a focus on data analysis.

-       Up to date knowledge of machine learning models and LLMs.

-       Strong knowledge and experience in ingesting data via APIs and web scraping.

-       Basic understanding of financial concepts and markets.

-       Familiarity with databases (e.g., SQL) and data visualization tools

-       Excellent problem-solving skills and attention to detail.

-       Ability to work independently and in a team-oriented environment.

-       Effective communication skills, both written and verbal.

 

Preferred Skills:


-       Previous experience or coursework in finance and financial modeling.

-       Previous experience analysing/pricing options

-       Knowledge of other programming languages or frameworks is a plus (e.g., R, Java, C++).

 

Benefits:


-       Gain hands-on experience working on real-world financial analysis projects.

-       Opportunity to learn from experienced professionals in both the tech and finance industries.

-       Competitive package and potential for full-time employment upon successful completion of the internship.

 

Location:London, UK

Based in the heart of London.

 

Duration:12 months.

 

Interested candidates are invited to send their CV and a brief cover letter detailing their interest in this position to . Applications will be reviewed on a rolling basis, so we encourage you to apply early.

 

Perspective Invest Limited is an equal opportunity employer and values diversity in its workforce.

 

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.