
Cubist Data Scientist at Point72
New YorkFull-timeQuant ManagementPosted about 1 month ago
About the Role
<p><strong>ROLE</strong></p>
<p>We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.</p>
<p>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.</p>
<p>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. </p>
<p><strong>RESPONSIBILITIES </strong></p>
<ul>
<li>Onboarding novel datasets from a huge variety of sources into our platform</li>
<li>Develop, test and deploy data pipelines, applications and services</li>
<li>Re-shaping, aggregating, enhancing and creating features from datasets</li>
<li>Engaging with vendors and internal stakeholders to understand characteristics of datasets</li>
<li>Defining and automating qualitative data alerts and reports</li>
<li>Partnering closely with investment teams to ensure their data requirements are met</li>
<li>Perform preliminary analysis and research to be shared with investment teams</li>
</ul>
<p><strong>REQUIREMENTS </strong></p>
<ul>
<li>Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis</li>
<li>Strong programming skills in Python and SQL</li>
<li>Experience working with AWS, Linux and Airflow preferred but not required</li>
<li>Financial industry experience preferred but not required</li>
<li>Strong organization, communication and interpersonal skills</li>
<li>Attention to detail and a love of processes</li>
<li>Strong oral and written communication skills</li>
<li>Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues</li>
<li>Ability to multitask and prioritize assignments</li>
<li>Commitment to the highest ethical standards</li>
</ul>