Job Description

Appointed to the FCA's Skilled Person Panel for Financial Crime, we enable our clients to stay ahead of emerging risks and evolving regulations by optimising systems and controls, leveraging the latest AI-powered technology and data analytics, to drive greater effectiveness, efficiency and sustainability, reducing the overall cost of compliance.


To support our growth plans and build out our T&D AI Assurance Services, we are looking for hardworking, intelligent, sociable and competitive problem solvers who are excited about delivering for our clients across the globe.

What are we looking for?

We're seeking graduates (or final-year students) from diverse backgrounds who are:


Passionate about making a difference and contributing to the fight against financial crime. Knowledge around financial crime compliance or previous experience is advantageous but not essential.


Driven problem solvers and innovative thinkers who challenge conventional approaches and who thrive under pressure.


Collaborative team players with excellent communication skills.


Experience in programming/software engineering - we primarily use Python, however, experience in languages like R, C, or others is also valued. We care more that you think like an engineer than the exact languages you've used.


Experience and expertise in data science, ideally with a blend of some of the following skills:

Machine learning techniques - including supervised and unsupervised methods and model evaluation. Key libraries including scikit-learn, scipy, pandas, and numpy (or equivalents). Data preprocessing - working with large untidy datasets and the ability to clean and transform data in preparation for analysis or modelling. Data visualisation - using tools like Power BI, Tableau, or libraries like Matplotlib or Seaborn to tell stories. Statistical analysis - understanding of key statistics and distributions, hypothesis testing, and the ability to derive insights. Working with both structured and unstructured data - including text, transactional, or time-series data.

Exposure to Generative AI / Large Language Models (LLMs) would also be highly advantageous.


We welcome applicants from disciplines including but not limited to:


Computer Science/Information Technology, Software Engineering, Mathematics with Data Science, Statistics, Big Data or Applied Data Analytics, Artificial Intelligence, Machine Learning, AI Ethics or Responsible AI

Why Join Us?

Innovate at the Highest Level - Work with industry leaders on Advisory and transformation engagements.


Structured Development - Gain hands-on experience and mentorship from top experts, alongside our market-leading training programme. This is your opportunity to further develop your knowledge and technical skills alongside some of the most talented professionals in the industry.


Make Your Mark - You won't just observe--you'll contribute to cutting edge projects that have a real impact in the fight against financial crime and fraud prevention.


Compensation Package & Career Progression - we offer a competitive compensation package consisting of a basic salary, performance-related bonus, pension, life and medical cover, and plenty of scope for long-term career progression.

What's Next:

Candidate Shortlisting

- Our Talent Team is currently shortlisting candidates, with a goal of completing this by the end of May.

Initial Contact

- Selected candidates will be contacted by late May to the first week of June.

Technical Assessment Days

- Two technical assessment days are scheduled to take place at the Plenitude Office in June/July.

Offer Letters & Feedback

- July/August 2025, offer letters and feedback will be shared with all candidates.

Graduate Programme Commencement

- Successful candidates will begin the Graduate Programme in September.

Equal Opportunities

At Plenitude Consulting, we take great pride in being an Equal Opportunities Employer. We ensure the fair treatment of staff and are committed to promoting diversity and championing inclusivity throughout the business. We do not discriminate based on race, color, religion or belief, sex, age, national origin, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability, or any other characteristic protected by applicable laws.


We strive to create a safe working environment for all our staff members, one that reflects diversity, inclusion, integrity, and respect. It is important that our environment not only protects our staff but is inclusive of all.


The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, confidential malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be requested from

dpo@plenitudeconsulting.com