Data Science Quant Analyst

Howard-Sloan Search

Join a leading investment management firm as a Data Science & Analytics Analyst, focusing on Python and SQL to tackle real-world business challenges.

Last checked on June 11, 2026. We may earn a commission when you click through.

✓ High earning potential with bonuses ✓ Engaging work on real business problems ✓ Strong team collaboration and mentorship opportunities

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Data Science Quant Analyst

Howard-Sloan Search

Updated 3 months ago

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New York Hybrid 95–100/yr Full-Time

This position offers a solid entry point into data science within the financial sector, but candidates should be prepared for an onsite commitment.

About this role

Join a leading investment management firm as a Data Science & Analytics Analyst, focusing on Python and SQL to tackle real-world business challenges.

About the Company

Howard-Sloan Search specializes in recruitment for the financial services industry, connecting top talent with leading firms.

Key Highlights

✓ Full-time position with a hybrid work schedule
✓ Competitive salary ranging from $95K to $100K plus bonuses
✓ Opportunity to work alongside senior leadership and diverse teams
✓ Focus on applying quantitative methods in a dynamic environment
✓ Located at a prestigious office on Park Avenue, New York

💡 Honest Take: This role is ideal for those with strong technical skills in Python and SQL, but may not suit candidates looking for fully remote positions.

Pros

✓ High earning potential with bonuses
✓ Engaging work on real business problems
✓ Strong team collaboration and mentorship opportunities
✓ Prominent New York City location

Cons

✗ Limited remote work flexibility
✗ High-pressure environment common in investment firms
✗ May require long hours during peak project times

Best For: It's suitable for recent graduates or those with a few years of experience in data science or analytics, particularly with Python and SQL skills.

Watch Out: Be prepared for a demanding workplace typical of investment firms, which may involve tight deadlines and high expectations.

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Expert Review

The Data Science Quant Analyst position at Howard-Sloan Search offers a compelling opportunity for those passionate about analytics in finance. With a competitive salary of $95K to $100K, plus bonuses, it promises attractive financial rewards. The role requires a solid foundation in Python and SQL, making it essential for candidates to demonstrate technical proficiency.

Collaboration is a key aspect of this position. Analysts will work closely with MDs, bankers, and data scientists, providing influence real business outcomes. However, candidates should note that the job entails a hybrid work schedule with four days onsite, which may be a drawback for those preferring remote options.

Despite the challenges, the position is thrive in fast-paced environments and are eager to tackle complex problems. The office’s prime location on Park Avenue adds to the allure, but it also means a bustling work atmosphere. Overall, this role a stepping stone for anyone looking to make a mark in the data science field within the investment sector.

For more details, visit the official listing on LinkedIn.