Hybrid Intelligence Data and Detection Analyst – Associate

at Financial Conduct Authority

• Job title: Intelligence Data and Detection Analyst – Associate
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: £43,100 - £55,100 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL, Tableau
• Location requirements: Hybrid, London, United Kingdom

About the role

• Data Analyst at FCA identifying and analyzing potential harm or misconduct through data. Collaborating on data-led intelligence packages and refining analysis methodologies.

Responsibilities

• Identifying insights through data analysis to highlight harm or misconduct relevant to the FCA or its partners
• Identifying and collecting relevant data sets, the analysis of which will generate indicators of potential harm or misconduct
• Creating data-led intelligence packages for onward action and liaising with internal and external partners to share, validate and develop insights
• Refining and documenting analysis methodologies based on feedback at all stages, to continually improve the accuracy and efficiency of capabilities
• Sharing ideas, developing analytical techniques, and acting as a collaborative team member
• Acting as a role model and advocate for data and intelligence within the wider FCA
• Any other reasonable responsibilities depending on departmental requirements, to include support to the development of management information, knowledge sharing, etc

Requirements

• Demonstrable experience conducting analysis, practical and exploratory, on structured intelligence data sets across a range of topics
• Prior experience recording, visualising, and presenting analysis to identify and articulate what the data shows
• Prior experience of working inclusively and collaboratively with others in a team setting, valuing different perspectives and backgrounds
• Able to use data to inform both tactical and strategic decision-making
• Willingness to learn new data collection and data analysis techniques
• Experience of workload management and prioritisation, working to direction but also with self-direction, managing time effectively and using sound judgement to achieve results
• Demonstrable interpersonal skills, to engage and support a variety of stakeholders and customers
• Able to use data analysis software or programming languages (e.g., Tableau, advanced Excel; Python, R, SQL)
• Experience of working in at least one of: intelligence analysis (e.g., OSINT, SOCMINT, use of sensitive intelligence), investigations, and financial services sector; experience of economic or financial crime issues would be of particular interest

Benefits

• 25 days annual leave plus bank holidays
• Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders)
• Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
• Private healthcare with Bupa
• Income protection
• 24/7 Employee Assistance
• 35 hours of paid volunteering annually
• A flexible benefits scheme designed around your lifestyle