Associate Director, Data Scientist
Core
Design, build, and deploy quantitative models and ML pipelines to create systematic country risk analytics and insights for corporates, banks, and asset managers.
Role type
Senior IC data scientist (risk analytics & NLP)
Builds
Robust ML/data pipelines, risk models, and generative AI applications for country risk management
Domain
Financial services / Country risk analytics / Economics
Deliverable
production ML models
Required skills
Python, R, SQL, NLP, machine learning, data mining, time series forecasting, stochastic modeling, interpretable AI
Preferred skills
Cloud platforms (AWS, DataBricks, Snowflake), DevOps, experiment tracking (MLFlow, W&B), software engineering in enterprise environments
Technologies
Python, R, numpy, pandas, scikit-learn, pytorch, tidyverse, caret, ggplot, SQL, Selenium, S3, Sagemaker, DVC, Weights & Biases, MLFlow
Responsibilities
Prototype and test approaches for extracting insights from structured and unstructured data; Develop and maintain robust ML and data pipelines; Design, build, and optimize risk models for analytics and generative AI; Collaborate cross-functionally with economists, analysts, and developers; Explain ML/NLP model outputs to non-technical stakeholders
Seniority
Senior, hands-on IC
