ApplySarthiCubist Data Scientist
Point72
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Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, LLMs. Practise those questions before you sit with Point72 .
Questions you are likely to be asked
- Why do you want to join Point72?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.
Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.
As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.
RESPONSIBILITIES
- Onboarding novel datasets from a huge variety of sources into our platform
- Develop, test and deploy data pipelines, applications and services
- Re-shaping, aggregating, enhancing and creating features from datasets
- Engaging with vendors and internal stakeholders to understand characteristics of datasets
- Defining and automating qualitative data alerts and reports
- Partnering closely with investment teams to ensure their data requirements are met
- Perform preliminary analysis and research to be shared with investment teams
REQUIREMENTS
- Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
- Strong programming skills in Python and SQL
- Experience working with AWS, Linux and Airflow preferred but not required
- Financial industry experience preferred but not required
- Strong organization, communication and interpersonal skills
- Attention to detail and a love of processes
- Strong oral and written communication skills
- Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
- Ability to multitask and prioritize assignments
- Commitment to the highest ethical standards
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Listed on greenhouse · posted 2023-11-20. ApplySarthi collects openings and links to application pages; the role is advertised by Point72 , not by us.