Associate, Research
Core
Provide financial analysis reports and materials for individual industries and sectors-specific companies, combining quantitative processes with fundamental insights to identify key performance indicators and predict stock returns.
Role type
Associate, Research (Quantitative/ML focus)
Builds
Financial analysis reports, sector-specific signals, trading strategies, and statistical models
Domain
Financial Services / Quantitative Research / Machine Learning
Deliverable
production ML models
Required skills
Deep Neural Networks, LSTM, Convolutional Neural Networks, Tree-based Methods, Principal Component Analysis, Regression methods, Classification, Time-series Modelling, Financial Modelling, Statistical Analysis, Big Data Analysis, Forecasting, Geospatial Analysis, Python, SQL, Git, Linux, Q/KDB
Preferred skills
None stated
Technologies
Python, Git, Linux, Q/KDB, SQL
Responsibilities
Analyze industry data to develop an industry-specific vision, Update and create financial models, Assess relative stock valuations, Develop, back-test, and implement statistics models, machine learning, and AI to test the efficacy of sector data, Explore and evaluate alternative data to gain insights into new alpha, Build tools to query, clean, analyze raw data through databases, Publish leading research insight notes and present at industry conferences
Seniority
Associate (Entry-level with Master's degree)