Quant-oriented data scientist with 5+ years of experience in finance and machine learning, including roles at Pictet Asset Management and Credit Suisse. I’ve built ESG-based alpha signals, developed risk and anomaly detection models, and supported systematic strategies with production-grade data pipelines.

Shengzhao Lei

Quant-oriented data scientist with 5+ years of experience in finance and machine learning, including roles at Pictet Asset Management and Credit Suisse. I’ve built ESG-based alpha signals, developed risk and anomaly detection models, and supported systematic strategies with production-grade data pipelines.

Available to hire

Quant-oriented data scientist with 5+ years of experience in finance and machine learning, including roles at Pictet Asset Management and Credit Suisse. I’ve built ESG-based alpha signals, developed risk and anomaly detection models, and supported systematic strategies with production-grade data pipelines.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

Chinese
Fluent
English
Fluent
French
Beginner

Work Experience

Research Assistant at HEC Lausanne
October 1, 2025 - November 5, 2025
Applied large language models to classify firms as platform vs non-platform from Crunchbase; built text-derived features to analyze VC funding and exit patterns. Developed climate policy indices using LLM-based extraction from unstructured legislative texts; constructed structured datasets for downstream econometric modeling.
Senior Data Engineer Consultant at Pictet Asset Management
December 1, 2023 - November 5, 2025
Designed and deployed API endpoints, optimized data retrieval queries to improve integration with internal systems. Constructed automated ETL data ingestion pipelines on AWS (Glue, ECS, SQS), reducing latency and improving data quality for third-party ESG data. Implemented advanced name entity resolution using a graph database, increasing mapping accuracy by 30%. Launched an ML-driven ESG rating model, improving model accuracy by 25%.
Senior Data Scientist at Credit Suisse Group AG
November 1, 2023 - November 1, 2023
Led development of ML-driven anomaly detection systems for financial transactions, reducing false positives by 75%. Deployed a deep learning NLP model for news sentiment analysis, improving market signal accuracy by 20%. Designed ML pipelines on Palantir Foundry, enabling model training on large-scale transaction data; leveraged Foundry ontology to solve entity resolution and used Foundry analysis tools for advanced data exploration; integrated models into CI/CD pipelines with unit testing and monitoring to ensure reliability in production.
Machine Learning Scientist at ELCA Informatik
April 1, 2020 - April 1, 2020
Built generative AI models with LSTM-based parsers and graph networks for structured graph and image generation. Developed a real-time logo detection system using Yolov3 and Faster-RCNN, via a Flask web app for video uploads.

Education

MSc in Communication Systems at École polytechnique fédérale de Lausanne (EPFL)
September 1, 2017 - April 1, 2020
B.Eng in Communication Engineering at Harbin Institute of Technology
September 1, 2013 - July 1, 2017

Qualifications

Quantitative Risk Management
January 11, 2030 - November 5, 2025
AI for Trading (Udacity Nanodegree)
January 11, 2030 - November 5, 2025
Generative AI with LLM
January 11, 2030 - November 5, 2025

Industry Experience

Financial Services, Software & Internet, Professional Services, Media & Entertainment