Souvik Ganguly
Associate Director at Standard Chartered Bank | Data Scientist | Helping people to break into the Data Industry | IIM-C | IIIT-B | ex- HSBC
- Role
- Associate Director, Conduct, Financial Crime & Compliance (Cfcc) at Standard Chartered
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Souvik Ganguly
With almost 9 years of experience in data science, I am an Associate Director- Conduct, Financial Crime & Compliance(CFCC) at Standard Chartered Bank, where I provide oversight to 1st Line of Defence across products for Financial crime models. Previously I was a Data Science / Analytics Manager- Compliance Analytics at HSBC, where I lead a team to optimize the AML Transaction Monitoring Model for credit cards and monitor its performance.• Analytics and Data Science experience: 8 years• Financial Crime and Anti Money Laundering: 7 years• Cyber Security: 1 yearI have successfully led and executed multiple Data Science and Analytics projects on: • Transaction Screening, Name Screening• Transaction monitoring, Anti-Money Laundering and alert generation• Customer risk profiling• Customer segmentation• Anomaly detection• Sentiment Analysisusing Python, SQL, Machine Learning and various data visualization tools. Additionally, I have mentored and trained junior team members and fostered a culture of rapid experimentation and learning.Key Skills:• Team Coordination & Leadership • Stakeholder management • People management • Project architecture • Research • Planning and resource management • Project Delivery • Process streamlining • Statistical Modeling • Rule-Based Modeling • Transaction Monitoring • Predictive Modeling • Python scripting • Optimization Techniques • Quantitative Analysis • Data Manipulation • Data Visualization Techniques • Text Pre-processing • Sentiment Analysis • Training and MentoringTechnical Skills:• Data Analysis Using Python, SQL and Excel • MS-Excel Pivots, Lookups, Formulas, Macro Development• Strong Presentation and Communication Skills• Languages: Python, Mainframe, HTML, CSS• Python- pandas, numpy, matplotlib, seaborn, plotly, sklearn, statsmodel, nltk, tdidfDatabase: SQL• Data Visualization: Qlik, Tableau• Machine Learning: Linear regression, Lasso and Ridge regression, Logistic regression, Clustering- KMeans, Hierarchical, DBSCAN,• Decision Trees, Naive Bayes, Ensemble trees- Random Forest, AdaBoost, GBM, XGBoost, PCA, Hyper-parameter tuning• IDE: Jupyter, PyCharm, Spyder, Sublime text, Eclipse, R-Studio, Mochasoft, Rumba• Version Control System: Git, SVN• Mainframe- Cobol, COBOLDB2, JCL, REXX, JHS, SDSF, Abend-Aid, CTLM, Xpeditor, CHGMAN, Endevor, QEDIT, File-Aid, Spufi, QMF, SPUFI, DFSORT, SFTP
Experience
Associate Director, Conduct, Financial Crime & Compliance (Cfcc)
Aug 2024 — Present · Bengaluru, IN
Currently providing oversight to 1st Line of Defence across Financial Crime Products. My job is to think, talk and identify risk in new and existing products and models (In-house or Vendor).
Education
G.H.Patel College of Engineering and Technology
Bachelor of Engineering (B.E.)
2012 — 2016
International Institute of Information Technology Bangalore
Post Graduate Diploma
2020 — 2021
Udemy
Prompt Engineering for Data Analysis Python, Pandas, ChatGPT
2023 — 2023
Indian Institute of Management, Calcutta
Executive Programme in Applied Finance(EPAF)
2023 — 2024
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