Description

Position Overview

A growing financial technology operation is looking for a Risk Analyst to strengthen its analytical approach to financial, transactional, operational, and customer-related risk. The successful candidate will use data-driven methodologies to identify emerging risk patterns, investigate anomalies, and support the development of effective risk controls across digital financial services.

Key Responsibilities

  • Analyze transactional and customer data to identify unusual patterns and emerging risks.
  • Develop analytical reports covering financial, operational, fraud, and transaction risks.
  • Monitor risk indicators and investigate significant deviations from expected activity.
  • Support the development and enhancement of risk scoring methodologies.
  • Collaborate with compliance, fraud prevention, operations, product, and technology teams.
  • Conduct root-cause analysis on incidents, losses, and control weaknesses.
  • Assist with scenario analysis, risk assessments, and control testing.
  • Build dashboards and management reports for risk monitoring.
  • Contribute to the refinement of automated risk detection and alerting processes.
  • Maintain accurate documentation of analytical findings and recommended mitigation measures.
  • Support periodic reviews of internal risk frameworks and procedures.
  • Track emerging risks associated with new products, payment methods, technologies, and market developments.

Candidate Profile

  • Analytical and methodical approach to complex problems.
  • Strong numerical reasoning and attention to detail.
  • Ability to identify relationships and anomalies within large datasets.
  • Strong communication skills and the ability to explain analytical findings clearly.
  • Comfortable working with confidential financial and operational information.
  • Demonstrated ability to work independently while collaborating across multiple departments.

Qualifications & Experience

  • Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Data Analytics, Business, or a related field.
  • 2–5 years of experience in financial risk, fraud analytics, banking, payments, fintech, audit, or data analysis.
  • Experience with Excel and analytical reporting tools.
  • Knowledge of SQL, Python, Power BI, Tableau, or similar technologies is highly desirable.
  • Understanding of financial transaction flows and risk-control principles is an advantage.

What the Role Offers

  • A data-intensive position at the intersection of finance, technology, and risk.
  • Exposure to modern payment and financial technology infrastructure.
  • Opportunities to develop advanced analytical and risk-management expertise.
  • A professional environment with opportunities for long-term career development.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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