Financial Crime - Data Analyst

MSA Data Analytics Ltd
Birmingham
1 week ago
Applications closed

Related Jobs

View all jobs

Financial Crime Data Analyst

Financial Crime Data Analytics Specialist (Flexible/Remote)

Financial Crime Analytics Consultant — Data Governance

Hybrid Junior Data Analyst: Financial Crime (Manchester)

Graduate Data Analyst (Financial Crime)

Fraud & AML Data Analyst: Turn Data into Safer Money

This newly created role presents an excellent opportunity for an experienced, systems-focused Financial Crime Analyst to make a meaningful impact in strengthening the first line of defence against fraud and financial crime within a FTSE 500 financial services organisation.

You will play a pivotal role in enhancing detection, prevention, and reporting capabilities across multiple Financial Crime systems. Working in a data-rich environment, you will combine technical expertise with analytical insight to identify emerging threats, optimise system performance, and ensure controls remain robust, efficient, and fully compliant.

Key Responsibilities

  • Lead and support the development and optimisation of fraud detection and prevention strategies across Financial Crime systems.
  • Analyse large, complex datasets using advanced SQL and data management tools to uncover patterns, trends, and anomalies.
  • Develop, monitor, and report on key fraud metrics, presenting insights and recommendations to senior stakeholders.
  • Design and implement data models and machine learning scoring models to enhance predictive insights and detection accuracy.
  • Optimise and fine-tune Financial Crime system rule sets in line with risk appetite, balancing risk mitigation with operational efficiency.
  • Collaborate with Technology, Risk, and Compliance teams to deliver data-driven improvements and strategic initiatives.
  • M...

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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 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.