Priyanka Pandey

Certified Financial Crime Risk Specialist with extensive international experience in AML, sanctions, fraud investigations and regulatory compliance. Proficient in integrating advanced technologies into compliance frameworks, with a strong foundation in data analytics and model governance. Demonstrated ability to lead complex investigations and align cross-border regulatory requirements.

-Advising financial institutions on credit risk management and financial crime prevention strategies. Conducting detailed financial risk assessments and recommending corrective actions to mitigate risk. Assisting clients in developing and implementing compliance frameworks in line with regulatory standards.

Assisted the development of innovative financial crime risk models, integrating methodologies from credit, liquidity, and operational risk domains. Ensured compliance with model risk management and benchmarking regulations, enhancing the robustness of financial crime risk assessments. Partnered with cross-functional teams to refine and implement risk models, significantly improving the accuracy of financial crime predictions.

-Managed the credit risk assessment process for high-profile banks and Financial institutions, including the rating of bank loans, debentures, and government bonds, adhering to stringent regulatory requirements and compliance. - Conducted stress testing using ICAAP and CCAR, providing critical insights for capital adequacy planning and regulatory disclosures for banks

Worked for UBS Bank (our sell side analyst), covering all large cap pharmaceutical companies, Biotech as well as Generic companies in Europe. -Stock recommendation and comprehensive research reports for pharmaceutical companies based in Europe.

- Worked for Deutsche Bank (our sell-side client) and covered 20 major stocks of Europe’s Telecom sector. The team covered major telecom operators in Europe. -Created excel models for the coverage including historical data, forecasts, DCF valuation, peer comparison analysis. Also updated the models during earnings release. -Contributed to written research reports (previews & reviews) during earnings. Also wrote updated reports on companies during significant Company events.