At a Glance
- Tasks: Analyse data to uncover fraud risks and support high-profile investigations.
- Company: Join a leading global organisation at the forefront of fraud risk management.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by helping major institutions detect and prevent fraud.
- Qualifications: Degree in STEM and strong experience with Python and SQL required.
The predicted salary is between 72000 - 88000 £ per year.
- Senior Data Analytics Consultant – Fraud & Investigations
- London
- About the Opportunity
We are partnering with a leading global organisation to recruit a fraud data analytics specialist.
The team works at the forefront of data-driven fraud risk management, leveraging technologies such as machine learning, network analysis, graph analytics, and large language models to uncover hidden risks, identify suspicious behaviour, and support high-profile investigations.
This is an excellent opportunity to work on impactful projects with major financial institutions and multinational organisations, helping them detect, prevent, and investigate fraud and misconduct.
Key Responsibilities
- Partner with clients, investigators, compliance teams, auditors, legal professionals, and regulators on complex and sensitive engagements.
- Gather requirements, define project scope, and translate business challenges into analytical solutions.
- Deliver end-to-end analytics projects, including data acquisition, engineering, transformation, analysis, visualisation, deployment, and stakeholder reporting.
- Analyse large volumes of structured and unstructured data from diverse sources to identify patterns, anomalies, and potential risks.
- Develop analytical models and algorithms to support fraud detection, financial crime monitoring, misconduct investigations, and regulatory compliance initiatives.
- Apply advanced analytical techniques to detect suspicious transactions, behavioural patterns, and emerging risks.
- Create compelling visualisations and reporting outputs that clearly communicate findings to technical and non-technical stakeholders.
- Mentor and support junior team members, ensuring high-quality delivery across engagements.
- Collaborate with technology, innovation, and business development teams to drive continuous improvement and growth.
What We're Looking For
- Degree in a STEM discipline such as Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience.
- Strong hands-on experience with Python, SQL, and modern data platforms such as Databricks, Azure Data Factory, or similar technologies.
- Experience designing and delivering data analytics solutions across the full project lifecycle.
- Excellent problem-solving, critical thinking, and analytical skills.
- Ability to communicate complex technical concepts clearly to a wide range of stakeholders.
- Experience working independently while managing multiple priorities and mentoring less experienced colleagues.
Desirable Experience
- Exposure to financial crime, fraud, regulatory compliance, investigations, market surveillance, or risk management environments.
- Consulting or client-facing experience.
• Experience with
- Relational databases (SQL Server, Postgre SQL, Oracle, My SQL)
- Data visualisation tools (Power BI, Tableau, Spotfire)
- Cloud platforms, particularly Microsoft Azure
- Big data technologies (Spark, Elasticsearch, Hadoop)
- Statistical modelling and advanced analytics
- Machine learning and pattern recognition techniques
- Web technologies such as HTML and Java Script
Fraud Data Senior Consultant in London employer: MERJE
Join a dynamic and innovative InsureTech company that prioritises compliance and regulatory excellence while fostering a collaborative and forward-thinking work culture. As the Head of Compliance, you will not only lead the UK compliance function but also enjoy flexible hybrid working arrangements, competitive salary packages, and ample opportunities for long-term career development in a high-growth environment. This is your chance to make a meaningful impact in a pivotal role at a company that values integrity and consumer protection.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Data Senior Consultant in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MERJE!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Fraud Data Senior Consultant at MERJE.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MERJE.
✨Apply Directly through Our Website
When you find a suitable opening like Fraud Data Senior Consultant at MERJE, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Fraud Data Senior Consultant in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MERJE, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MERJE. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MERJE
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MERJE!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
