Overview
Full Time
Skills
Asset Management
Analytical Skill
Collaboration
Research Design
Research
Forecasting
Portfolio Management
Analytics
Machine Learning (ML)
Prompt Engineering
Modeling
Mathematics
Finance
Economics
Computer Science
Information Management
Statistics
Presentations
Communication
Motivation
Python
SQL
Data Analysis
Databricks
Apache Spark
Snow Flake Schema
Jupyter
Visualization
matplotlib
Plotly
Tableau
Web Applications
Dash Python
IaaS
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Apache Airflow
Jenkins
Docker
Microsoft Excel
Data Science
Artificial Intelligence
Job Details
Balyasny Asset Management (BAM) operates at the intersection of finance and technology. Our teams bring together portfolio managers, financial analysts, quantitative researchers, and software engineers who work together to identify investment opportunities and generate lasting returns for our investors.
BAM's Data Science & AI (DSAI) group consists of data scientists, engineers, and researchers who support the firm's research initiatives across fundamental and quantitative strategies. The team implements machine learning models and leverages our cutting-edge data platforms to analyze datasets and generate investment signals. DSAI works with each investment strategy at BAM, providing analytical rigor and data-driven insights for investment decisions.
Within DSAI, the Data Science Research team combines sector knowledge with quantitative methods to support the firm's data capabilities. The team collaborates with Equity Portfolio Managers to develop insights that inform investment decisions and portfolio performance.
We are seeking an exceptional Data Scientist to join our high-impact team focused on the Consumer & TMT sectors. In this role, you will collaborate directly with portfolio managers to design and deliver data-driven solutions that address the most pressing investment debates and unlock new sources of alpha. You'll have the opportunity to partner with senior investors, to lead research design on investment themes, and develop advanced models for alpha generation.
What You'll Do
Partner with Portfolio Managers: Identify and frame key investment debates in the Consumer & TMT sectors, and design and conduct data-driven research to address them.
Forecast the Future: Use advances techniques (LLMs, graph analytics, machine learning, Bayesian frameworks) to create predictions which have high accuracy and low latency.
Leverage AI: Use the latest in LLMs and BAM's AI infrastructure to extract insights and deliver Agentic solutions for our Portfolio Management teams.
Build & Scale Data Products: Lead the development of data products and scale solutions that empower investment teams and drive alpha generation.
Shape Sector Strategy: Contribute to the development and execution of sector-level data strategies, driving engagement and adoption of the team's products.
Innovate with Investment Staff: Brainstorm creative applications of data in the investment process, pushing the boundaries of what's possible.
What We're Looking For
Alpha-First Mindset: A passion for delivering value to investment teams by questioning the consensus and looking for informational advantages in data.
Continuous Pursuit of Excellence: The ability to deliver results and an internal drive to constantly iterate and improve.
Technical Mastery: Solid command of statistics, analytics, and machine learning, with a proven track record of informing investment or business decisions.
Applied AI: experience or familiarity with LLMs and prompt engineering.
Sector Expertise & Curiosity: Deep knowledge and intellectual curiosity in Consumer & TMT; experience in key domains including consumer choice modeling, consumer transaction analysis, longitudinal panelization, demographic/psychographic/behavioral analyses and other relevant area of study or analysis.
Proven Experience: 4+ years in data science, data analytics, or a related field.
Educational Background: BS or MS in Mathematics, Finance/Economics, Computer Science, Information Management, Statistics, Engineering, or Technology.
Crisp Presentation & Communication: Ability to distill complex technical concepts to non-technical audiences. Motivation to understand and integrate both up and downstream processes.
Coding: Python and SQL
Tech Stack Familiarity: Experience with any of the following is a plus: data analytics (Databricks/Spark, Snowflake, Jupyter), visualization tools (matplotlib, plotly, Tableau), web application frameworks (Dash, streamlit), cloud infrastructure (AWS/Google Cloud Platform/Azure, Apache Airflow, Jenkins, Docker), and Excel.
Join BAM's Data Science & AI team and help shape the future of data-driven investing. If you're passionate about leveraging data to solve complex problems and drive investment performance, we want to meet you.
BAM's Data Science & AI (DSAI) group consists of data scientists, engineers, and researchers who support the firm's research initiatives across fundamental and quantitative strategies. The team implements machine learning models and leverages our cutting-edge data platforms to analyze datasets and generate investment signals. DSAI works with each investment strategy at BAM, providing analytical rigor and data-driven insights for investment decisions.
Within DSAI, the Data Science Research team combines sector knowledge with quantitative methods to support the firm's data capabilities. The team collaborates with Equity Portfolio Managers to develop insights that inform investment decisions and portfolio performance.
We are seeking an exceptional Data Scientist to join our high-impact team focused on the Consumer & TMT sectors. In this role, you will collaborate directly with portfolio managers to design and deliver data-driven solutions that address the most pressing investment debates and unlock new sources of alpha. You'll have the opportunity to partner with senior investors, to lead research design on investment themes, and develop advanced models for alpha generation.
What You'll Do
Partner with Portfolio Managers: Identify and frame key investment debates in the Consumer & TMT sectors, and design and conduct data-driven research to address them.
Forecast the Future: Use advances techniques (LLMs, graph analytics, machine learning, Bayesian frameworks) to create predictions which have high accuracy and low latency.
Leverage AI: Use the latest in LLMs and BAM's AI infrastructure to extract insights and deliver Agentic solutions for our Portfolio Management teams.
Build & Scale Data Products: Lead the development of data products and scale solutions that empower investment teams and drive alpha generation.
Shape Sector Strategy: Contribute to the development and execution of sector-level data strategies, driving engagement and adoption of the team's products.
Innovate with Investment Staff: Brainstorm creative applications of data in the investment process, pushing the boundaries of what's possible.
What We're Looking For
Alpha-First Mindset: A passion for delivering value to investment teams by questioning the consensus and looking for informational advantages in data.
Continuous Pursuit of Excellence: The ability to deliver results and an internal drive to constantly iterate and improve.
Technical Mastery: Solid command of statistics, analytics, and machine learning, with a proven track record of informing investment or business decisions.
Applied AI: experience or familiarity with LLMs and prompt engineering.
Sector Expertise & Curiosity: Deep knowledge and intellectual curiosity in Consumer & TMT; experience in key domains including consumer choice modeling, consumer transaction analysis, longitudinal panelization, demographic/psychographic/behavioral analyses and other relevant area of study or analysis.
Proven Experience: 4+ years in data science, data analytics, or a related field.
Educational Background: BS or MS in Mathematics, Finance/Economics, Computer Science, Information Management, Statistics, Engineering, or Technology.
Crisp Presentation & Communication: Ability to distill complex technical concepts to non-technical audiences. Motivation to understand and integrate both up and downstream processes.
Coding: Python and SQL
Tech Stack Familiarity: Experience with any of the following is a plus: data analytics (Databricks/Spark, Snowflake, Jupyter), visualization tools (matplotlib, plotly, Tableau), web application frameworks (Dash, streamlit), cloud infrastructure (AWS/Google Cloud Platform/Azure, Apache Airflow, Jenkins, Docker), and Excel.
Join BAM's Data Science & AI team and help shape the future of data-driven investing. If you're passionate about leveraging data to solve complex problems and drive investment performance, we want to meet you.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.