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
Job title
Intelligence Data and Detection Analyst – Associate
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