Priyadarshini Seal
Data Scientist-Dynamic Risk Assessment-HSBC| FRM (Charter Pending)
- Role
- Analyst-dynamic Risk Assessment at HSBC
- Location
- Bengaluru, IN
- LinkedIn followers
- 500 followers
About Priyadarshini Seal
Risk professional with a working knowledge of Statistical Predictive Models, Time Series Forecasting and Text Mining Analysis using R, Python in the domain of Financial Services. Currently working with Financial Crime Risk Analytics team of HSBC and I am working in transaction monitoring and anti-money laundering financial projects. Working on Automation of IT Files.Also working on JIRA Software (which is designed to help teams of all types manage work. It has evolved into a powerful work management tool for all kinds of use cases from requirements and test case management to agile software development). Experienced in creating Machine Learning Algorithms (Classification & Regression), Deep Learning Algorithms, Natural Language Processing (NLP), Language Models (Text Classification, Sentiment Analysis, Next-word Prediction etc.) to deliver insights and implement action oriented solutions to complex business problems,with an extensive experience in building machine learning & deep learning models & combining insights from econometrics, finance & computing science in order to automate much more complicated decision making processes, interpreting & analysing data for driving business solutions.Skilled in analytical tools like - SAS,R,Python, Tableau,Power BI. In depth knowledge of AML risks, TM requirements, risk typologies and model performance indicators. Cleared FRM part 1 and FRM part 2 in 1st attempt (FRM charter pending).
Experience
Analyst-dynamic Risk Assessment
May 2023 — Present
Advanced Data Science solutions are being leveraged to enhance Financial Crime Detection capabilities.
Education
National Institute of Securities Markets (NISM)
NISM-Series-XIII:Common Derivatives Certification, Equity Derivatives, Interest Rate Derivatives ,Currency Derivatives, 88.33%
CFA Institute
Pursuing CFA
2022 — 2024
University of Calcutta
M. Sc Economics, Specialization in Advanced Econometrics, Economics of Industry,Labour Economics, Cgpa: 6.848 , Grade : B+
2019 — 2021
Calcutta Girl's High School
ISC & ICSE, Accounts,Economics,Mathematics, 90.75%
2003 — 2016
University of Calcutta
B.Sc, Economics, 64.125 %
2016 — 2019
Indian Institute of Quantitative Finance
Post Graduate Program in Financial Engineering
2022 — 2023
Ivy Professional School
Data Science and Tableau Certification, Hadoop, R, Python, SQL, Advanced Tableau , Predictive modelling, SAS, ANN, CNN, RNN, LSTM, NLP
2020 — 2021
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