Financial Crime Manager - Big Data & Analytics

Harnham ,
London, Greater London
Job Type: Full-time
Salary: £55,000 per annum

Overview

Financial Crime Manager - Big Data & Analytics London Up to £65,000 Are you looking for a new financial crime challenge? Do you have experience with Big Data architecture? A global leader in Management Consulting and Professional Services is looking for a forensic specialist with Big Data experience. This role joins a fast growing Forensic Analytics team to conduct complex investigations and data solutions to high profile businesses. THE COMPANY This is a fantastic opportunity to join a world leading firm in an ground-breaking and exciting division. Voted a top employer for working families, flexible working, and careers for women, this company strives for a collaborative and employee led culture. They pride themselves on being innovative and fast-paced. Their offices host a world class training centre to assist employees in professional development, enhancing opportunities for serious career progression. High profile clients allow for extensive exposure to different industries and challenging opportunities. THE ROLE As a Forensic Manager, the core focus of the role is: Advanced stakeholder management to understand the business problems faced Analytics across multiple workstreams and diverse data-sets Advising on industry best practices and software technologies available Hands on implementation and development of big data solutions This role will involve travel to clients. YOUR SKILLS AND EXPERIENCE Educated to a degree level in a numerate discipline Advanced analytical skills in SQL, SAS, Oracle or similar Experience with Hadoop, Hive, Kafka, or similar Programming skills in Python, Scala, C# or similar Working knowledge of financial crime sphere THE BENEFITS Salary up to £65,000 dependent on experience Competitive bonus and benefits package 25 days holiday Flexible working environment HOW TO APPLY Please register your interest by sending your CV to Rosalind Madge via the Apply link on this page. KEYWORDS Big Data, Data Analytics, Analysis, Forensic, Fraud, Financial Crime, Consultant, Data-sets, Problem Solving, SQL, Python, Scala, Kafka, Hadoop, Hive, Oracle