Group Privacy Analyst in Lisbon managing data protection activities and collaborating on AI risk. Engaging with teams to develop privacy processes and ensure compliance in a supportive environment.
FA
Hybrid Intelligence Data and Detection Analyst – Associate
Posted 2 months ago
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
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