Description

A Quant Equity Team embedded in a Tier-One Trading Fund in NYC is looking for an Alternative Data Equity Quant Researcher to join. The group is led by a veteran team lead and is largely focused on mid-frequency horizons (1-4 weeks typically). The incoming Quant Researcher will tap into a vast array of alternative datasets readily available in the fund (social media, geolocation, credit/debit card transactions, email receipts, sentiment, etc.) to generate new alpha siganls within the team.

This team in particular has enjoyed continued success under the helm of the same manager for the last 5+ years. The group is collaborative by nature and QRs within the team enjoy sharing ideas and working towards the same goal of driving PnL within the group. Given the position of the team, they value highly creative members who can think of new datasets to procure, a strong sense of how company forecasts impact stock performance met with a rigorous quantitative skillset to accurately predict movements in the market.

The ideal candidate for this seat will have:

• 3+ years working with non-market data for alpha signal generation
• Advanced statistical and mathematical modeling capabilities
• Creative use of ML/AI models in their research workflow
• Exceptional Python coding capabilities
• Collaborates with other teammates well
• Advanced STEM degree