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Quant Research Developer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am currently a machine learning engineer working on improving recommendation systems for Maps at Snap
Stanford University
Master’s Degree, Computational and Mathematical Engineering
January 1, 2016 – January 1, 2018
Lycée Sainte-Geneviève
Mathematics and Physics
January 1, 2011 – January 1, 2013
Tower Research Capital
Quant Research Developer
February 1, 2025 – Present
New York City Metropolitan Area
Snap Inc.
Senior Machine Learning Engineer - Tech Lead
March 1, 2021 – March 1, 2025
New York, United States
BenevolentAI
Machine Learning Engineer
June 1, 2018 – March 1, 2021
Greater New York City Area
Cultural Fit Analysis
The candidate has worked at prominent tech companies (Snap Inc., Tower Research Capital) and a biotech AI company (BenevolentAI), indicating adaptability to different industry cultures. The experience as a Tech Lead suggests a capacity for collaboration and mentorship. However, the target role is 'Data Analyst', which is a significant shift from their current and past roles as 'Machine Learning Engineer' and 'Quant Research Developer'. This role misalignment suggests a potential cultural fit challenge for a pure data analyst role, as their experience is heavily skewed towards advanced ML engineering and research.
Soft Skills & Operational Fit
The candidate's resume indicates experience in a Tech Lead role, suggesting leadership and project management capabilities. The descriptions of setting up end-to-end pipelines imply strong problem-solving and system thinking skills. However, without specific soft skill assessments or project details, a comprehensive evaluation of operational fit is limited.