Senior Consultant

Experience Level: Mid-level (Total experience: <10 years)

• 4-8 years of total experience in Fraud Analytics or Credit Risk Analytics within the banking/financial services domain.

• Proven track record in strategy creation, model development, rule writing, and data deepdives.

• Exposure to fraud / credit risk management platforms, transaction monitoring systems, or credit decision engines preferred.

Technical Skills:

• Strong SQL skills for querying and manipulating large datasets.

• Proficiency in at least one of: Python, Spark, or SAS.

• Hands-on experience with data visualization tools (Tableau, Power BI, etc.).

Key Responsibilities in the role:

• Fraud & Risk Strategy Development

• Design, implement, and optimize fraud detection and prevention strategies across banking products and channels.

• Partner with operations, product, and technology teams to refine risk controls while balancing fraud losses, customer experience, and operational efficiency.

• Collaborate with modeling teams to develop predictive and machine learning models for fraud detection.

• Author, test, and deploy fraud detection rules and scoring logic.

• Conduct deep-dive analyses on fraud trends, customer behavior, and transaction patterns to identify emerging threats.

• Provide actionable recommendations based on analytical findings.

• Develop dashboards and reports in Tableau or similar tools to track KPIs, monitor strategy performance, and communicate insights to stakeholders.

• Ensure reporting accuracy, timeliness, and usability for business partners.

• Partner with internal teams such as Technology, Data Science, Operations, Compliance, and Legal to deliver risk management initiatives.

• Support risk reviews and prepare presentations for senior management and governance forums.