# Cubist Data Scientist at Point72

Cubist Data Scientist at Point72 in Singapore. Posted November 20, 2023.

- Company: Point72
- Location: Singapore
- Posted: 2023-11-20
- Apply: https://boards.greenhouse.io/point72/jobs/7001158002?gh_jid=7001158002
- Source: https://jobmagic.ai/jobs/cubist-data-scientist-point72-vvfaa6

## 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

## Description

**ROLE**

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