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Fraud Data Analyst
LinkedIn Recruiter Post
Hiring a Fraud Data Analyst for a 12 - month contract in Toronto, ON. Requires 5+ years in data/analytics with fraud, AML, and threat detection experience.
About the role
- Senior Data Analyst analyzing financial and regulatory data at fintech company. Collaborating with various teams to deliver timely and accurate reporting solutions.
Responsibilities
- Design, develop and maintain finance and regulatory reports and dashboards using SQL and BI tools to serve Finance, Compliance teams.
- Perform deterministic reconciliations, investigate variances, identify root causes and propose corrective actions to close gaps between ledgers, payment processors and custody systems.
- Prepare datasets and supporting documentation for regulatory reporting, ensuring controls and auditability.
- Define data quality checks, implement monitoring rules and document lineage for critical finance and compliance metrics.
- Automate repetitive tasks and reporting workflows to reduce manual interventions and improve timeliness.
- Work closely with Finance, Compliance, Product and Data Engineering to translate business requirements into analytic specifications and prioritise deliverables.
- Deliver clear, actionable analyses for budgeting, forecasting, regulatory queries and incident investigations.
- Maintain clear documentation of methodologies, assumptions and data sources to support audits and regulatory reviews.
- Share knowledge, promote analytical best practices.
Requirements
- 4+ years in data analysis, finance analytics or regulatory reporting within payments, fintech, banking or related financial services.
- Strong SQL skills and experience with BI/reporting tools (e.g. Looker, Tableau, Power BI).
- Familiarity with modern data stacks and data transformation tools (dbt, Airflow/Prefect or similar) is highly desirable.
- Solid understanding of general ledger concepts, reconciliations, cut‑offs and basic accounting principles.
- Experience supporting regulatory regimes relevant to payments/crypto is a plus.
- Experience implementing data checks, reconciliation frameworks and documenting controls for auditability.
- Detail‑oriented, pragmatic and able to investigate complex data issues to produce clear conclusions and remediation plans.
- Excellent written English.
- Comfortable with scripting (Python, SQL procedural or similar) to automate ETL, validation and reporting tasks.
- Practical understanding of data protection, RBAC and privacy considerations in a regulated environment.
Benefits
- Work fully remote as part of an agile, international team shaping the future of finance.
- Competitive salary range determined by individual experience and contribution.
- Career progression with opportunities to grow into senior technical, management or cross‑functional roles.
- Impact & ownership: Work on mission‑critical reporting where accuracy, transparency and compliance are essential.
- Collaborative culture: Join a transparent environment that values open dialogue, experimentation and measurable impact.
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