Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Data Scientist role at Evolve Group involves leveraging event, flow, and holdings financial data to generate insights that support trading strategies and risk management.
Responsibilities and impact
The candidate will source and model event-driven data, analyze fund and trade flows, utilize holdings data for analysis, develop data pipelines and tools, collaborate with data engineering, and onboard alternative datasets.
Experience and skills
Requires 3+ years in data science or quant research in finance, strong Python and SQL skills, experience with large datasets and vendor APIs; preferred qualifications include machine learning, distributed computing, and advanced quantitative degrees.
Job location and travel
The position is onsite in New York, NY.
Company overview
Evolve Group is an innovative manufacturing and technology company specializing in advanced manufacturing solutions and product development. They generate revenue through a diverse portfolio that includes contract manufacturing, proprietary products, and licensing their technology. Founded in 2005, Evolve Group has a strong history of pioneering sustainable manufacturing practices and integrating cutting-edge technologies like robotics and automation to enhance production efficiency. Their commitment to innovation and sustainability has earned them numerous industry awards and a reputation as a leader in the manufacturing sector.
How to land this job
Position your resume to highlight your experience with event-driven data, fund and trade flows, and holdings data, emphasizing how you transformed complex financial datasets into actionable trading insights.
Showcase your proficiency in Python and SQL, particularly your use of libraries like Pandas and NumPy, and your ability to develop scalable data pipelines and predictive features.
Apply through multiple channels including Evolve Group's corporate careers page and LinkedIn to maximize your application visibility and follow up on your submissions.
Connect on LinkedIn with members of Evolve Group's data science, quant research, and engineering teams; start conversations by commenting on recent projects they've shared or asking about their approach to integrating alternative datasets.
Optimize your resume for ATS by incorporating keywords such as 'event-driven data,' 'fund flows,' 'holdings data,' 'Python,' 'SQL,' and 'machine learning' to ensure it passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms for submission, and discover LinkedIn contacts to network with, freeing you to focus on preparing for interviews and further skill development.
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