- Company Name
- UK Regulators' Network
- Job Title
- Intelligence Data and Detection Analyst (12-month FTC)
- Job Description
-
**Job Title:** Intelligence Data and Detection Analyst (12‑month FTC)
**Role Summary:**
Analyze and synthesize financial datasets to detect misconduct and economic crime, producing actionable intelligence for regulatory enforcement. Supports a cross‑functional team within a specialist intelligence division that collaborates with internal units and external partners to safeguard market integrity.
**Expectations:**
- Deliver timely, data‑driven insights that identify potential harm or misconduct in regulated firms.
- Develop, refine, and document analytical methodologies to enhance accuracy and efficiency.
- Foster a collaborative environment through peer review, knowledge sharing, and mentoring of early‑career staff.
**Key Responsibilities:**
- Source, aggregate, and analyze relevant datasets to generate indicators of possible misconduct.
- Create data‑led intelligence packages that support enforcement decisions and actions.
- Collaborate with internal stakeholders (e.g., Authorisation, Supervision) and external partners (law‑enforcement, international agencies) to share and refine insights.
- Document analytical processes, methodologies, and outputs for reproducibility and audit purposes.
- Contribute to management information, training material, and knowledge‑sharing initiatives within the team.
**Required Skills:**
- Advanced data analysis (statistical modeling, predictive analytics, anomaly detection).
- Proficiency in data manipulation and analysis tools (SQL, Python, R, or equivalent).
- Ability to source, clean, and integrate heterogeneous datasets.
- Strong reporting and visualization skills (Excel, Power BI, Tableau, etc.).
- Excellent written communication for preparing intelligence briefs.
- Collaborative mindset with experience in peer review and cross‑functional teamwork.
- Understanding of financial crime, regulatory frameworks, and market operations.
**Required Education & Certifications:**
- Bachelor’s degree (or equivalent) in Data Science, Statistics, Economics, Finance, Computer Science, or a related discipline.
- Professional certifications (e.g., Certified Fraud Examiner, FCA‑approved finance regulator courses) are advantageous but not mandatory.