Forensic Data & Analytics in London

My client's Forensic Data Analytics team provides advanced analytics services to support high-profile and sensitive client matters such as real-time fraud detection / prevention, fraud investigations, financial crime, disputes, and litigation.

Your key responsibilities:

• Work with financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations
• Communicate with clients to scope projects and gather requirements
• Highlight and explain the outputs of our analytics to clients in the context of their business
• Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery
• Handle a large amount of structured and unstructured data from a variety of data sources
• Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI.
• Supervise the work of junior team members and be responsible for quality control of work products from the team
• Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime
• Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues
• Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients
• Align to various strategic teams in the areas of technology, innovation and business development

To qualify for the role, you must have:

• Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience
• Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript
• Ability to work independently, manage work products and mentor junior team members
• Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data
• Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds

Ideally, you'll also have:

• Domain knowledge of Financial Crime, Market Abuse, Mis-selling remediations, accounting, fraud, bribery and corruption or sector specific knowledge or experience
• Organisational ability, people skills and project management potential
• Previous consulting experience and experience with:
• Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL;
• Data visualisation software: Spotfire, Tableau, or Power BI;
• Azure cloud computing platform;
• Big data technologies such as Spark, Elasticsearch, Hadoop;
• Statistical techniques (regression, clustering etc.);
• Machine learning and pattern recognition;
• Front-end web development e.g. HTML, JavaScript;