SAYAN NAYAK
Kolkata
Summary
Decision science professional, with over 7 years of overall experience, who is eager to shoulder another responsible role in the field of Financial Crime - Transaction Monitoring and Data Science solutions with a focus on scalable, impact-driven solutions.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Manager - Decision Science
HSBC
Kolkata
06.2021 - Current
- Works in Financial Crime Compliance domain and responsible for analyzing risk based on Transaction monitoring, on the basis of pre-defined rules, monitor threshold for risk on the basis of triggers raised by model monitoring team and responsible for building statistical models, AML (customer & accounts) / Credit card/ Pseudo customer models for 62 countries in which HSBC operates and designing innovative solutions to identify suspicious customers (SCC) or Money Launders.
- Improved risk targeting efficiency by 5-10% through customer segmentation of retail and global customers in 4 countries.
- Classified suspicious customers using machine learning techniques, reducing false positive alerts by 27-30% (C&A and Pseudo).
- Developed NLP solution to extract thresholds from unstructured alert text across different countries, decreasing manual efforts by over 40%.
- Designing of Investigation tool for Corresponding Banking customers using LLM. (ongoing)
Research Associate
Nielsen
Kolkata
02.2021 - 06.2021
- Conducted research-based analysis at Nielsen to support data-driven decision-making.
Exec. Business Analyst
Interstate Oil Carrier Limited
Kolkata
01.2018 - 12.2019
- Contributed to research-based analysis and reporting as an executive business analyst at Interstate Oil Carrier Limited.
Education
eMasters - Data Science & Business Analytics
IIT
Kanpur06-2024
PGDM - Big Data Analytics
IISWBM
Kolkata09-2017
BTech - Electrical Engineering
Academy of Technology
Hooghly06-2016
Skills
- Supervised and Unsupervised Machine Learning model development - Segmentation, Predictive and Classification
- Development of Transaction monitoring (Anti Money Laundering) Scenarios for C&A, Credit card and Pseudo Customers in the model development & validation
- Understanding of advanced statistical methods and advanced machine learning techniques: GLM/Regression, Random Forest, Boosting, Trees, neural networks, clustering, KNN, scenario analysis, modeling, Anova, Chi-square, Outlier Detections, Charts & plots, Evaluation Matrices, etc
- Data pre-processing, Feature Engineering & Selection
- Worked on tools and technologies such as PyHive, Python & Big Query on GCP
Certification
• Certified from IVY Pro School in Data science (ML&DL), 2020
• HSBC Steller Performance, H2 2021, H2 2022
• HSBC Rising Star, H1 2022
• HSBC Steller Performance, H2 2021, H2 2022
• HSBC Rising Star, H1 2022
Websites
Timeline
Manager - Decision Science
HSBC
06.2021 - Current
Research Associate
Nielsen
02.2021 - 06.2021
Exec. Business Analyst
Interstate Oil Carrier Limited
01.2018 - 12.2019
eMasters - Data Science & Business Analytics
IIT
PGDM - Big Data Analytics
IISWBM
BTech - Electrical Engineering
Academy of Technology