Quant Researcher: Alpha Signals & Data Science

Balyasny Asset Management; New York (NY); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Balyasny Asset Management in New York seeks a Quantitative Researcher (Alpha Capture) to join the Alpha Capture team. The role focuses on processing diverse data, building alpha signals, backtesting ideas, and producing robust code for production deployment.

The ideal candidate has a Master’s/PhD in a quantitative field and 1–3 years of relevant buyside or equity research experience, with strong Python/R/SQL skills and a solid finance background.

Qualifications

• Master’s or PhD in Finance, Economics, Statistics, Financial Engineering or related quantitative fields
• Ideally 1–3 years of working experience in quant research / equities / buyside
• Solid knowledge of probability, statistics, finance, data structures and algorithms
• Deep understanding of business fundamentals and strong finance intuition
• Familiarity with financial reporting, and experience working with financial statements
• Excellent programming skills in Python, R, SQL, Unix/Linux shell scripting
• Comfortable working with complex large datasets and apply statistical methods appropriately
• Strong problem-solving skills and ability to identify and implement appropriate solutions
• Ability to communicate complex ideas clearly; solid analytical, writing, verbal, technical skills
• Outstanding attention to detail and strong organization skills
• Sector-specific expertise in Industrials, Energy, or B2B TMT a plus

Responsabilités

• Process and analyze all kinds of datasets, both structured and unstructured
• Collaborate closely with team members to develop alpha signals using alternative data
• Utilize state of the art data science techniques to forecast company fundamentals & KPIs
• Adopt a data-driven & fundamentally-motivated framework to come up with new alpha generation ideas and rigorously backtest them
• Communicate findings to the team, soliciting feedback, and iteratively refining the core ideas until improvement can be demonstrated
• Write robust, thoroughly tested and peer reviewed code to productionize improvements for the investment strategy and process
• Prioritize and manage multiple tasks and projects concurrently to meet/exceed deadline

Connaissances

Quantitative research

Python/R/SQL programming

Statistical analysis

Communication

Formation

Master's or PhD in Finance/Economics/Statistics/Financial Engineering

Outils

Python

R

SQL

Unix/Linux shell

Description du poste

Balyasny Asset Management in New York seeks a Quantitative Researcher (Alpha Capture) to join the Alpha Capture team. The role focuses on processing diverse data, building alpha signals, backtesting ideas, and producing robust code for production deployment.

The ideal candidate has a Master’s/PhD in a quantitative field and 1–3 years of relevant buyside or equity research experience, with strong Python/R/SQL skills and a solid finance background.