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

Apply Now

Financial Credit Analyst London

Cognitive Credit
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Risk Analysis

Data Scientist

Data Scientist

Senior Data Scientist & AI Specialist

Senior Data Scientist - Data.One

Data Scientist

We are a financial technology company that develops advanced analytics software for global credit investors. We work with the world’s largest investment banks, asset managers, and hedge funds. Our aim is to automate as much of a credit analyst’s workflow as possible to free up institutional investors’ resources and empower their businesses to be as productive and insightful as possible.

The primary job responsibility relates to collecting and managing corporate financial data. The analyst utilizes our proprietary technology to build and maintain our data set – financial models across US and European credit markets. We seek passionate, innovation-minded finance and accounting professionals who want to expand their career in a high-growth setting and gain exposure to the fintech industry.
An ideal candidate for this position will have an accounting or corporate finance education, with professional training in corporate accounting/audit, financial analysis and/or credit markets.

This job is for you if:

  • you have an accounting background and/or are a skilled accountant from a Big 4 accounting firm/ financial data analyst looking to develop new skills, both financial and technological, while expanding your professional horizons
  • you are highly analytical, detail-oriented, motivated by data integrity challenges, and can work independently
  • you believe that there ‘must be a better way’ with respect to automating the repetitive tasks in your current job
  • you are interested in working in an environment with fast growth potential that prioritizes innovation
  • you take ownership to drive solutions and are a self-starter

Required Education/Experience/Skills:

  • Strong academic track record, with a background in accounting and/or finance
  • Accounting and/or finance qualifications such as ACA preferred from a Big 4 accounting firm
  • Financial statement audit/analysis capabilities; familiarity with creating financial models/reports from scratch
  • IFRS experience is essential; US GAAP experience is useful
  • Ability to demonstrate superior work performance, attention to detail, and a commitment to outstanding results
  • Good Excel knowledge plus experience with data management
  • Passion for technology and learning new tools

Typical Day:

  • Growing our data by processing financial reports using the Company’s proprietary data extraction system, assembled using cutting-edge machine learning technology
  • Analyzing resulting output for accuracy and completeness using internally developed audit tools and techniques
  • Monitoring / “owning” your coverage universe to support live data updates during corporate earnings season
  • Interacting with our clients, the world’s leading investment firms, to answer questions about data and product functionality; supporting sales and account management teams
  • Discussing product priorities and strategic objectives with a management team that has many decades of buy-side and sell-side experience working in intuitional credit markets
  • Collaborating with the engineering team to review system performance and identifying opportunities for improvement, including both internal analyst tools and our client-facing Application

Compensation:

Competitive pay and benefits, subject to individual experience

Work Environment:

Dynamic, innovative, analytical, and collaborative.

Location:

The position can offer a high degree of remote working flexibility. The parent company is based in London, UK.

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.



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.