# Cubist Senior Data Scientist at Point72

Cubist Senior Data Scientist at Point72 in Singapore. Posted December 15, 2023.

- Company: Point72
- Location: Singapore
- Experience: 5+ years
- Posted: 2023-12-15
- Apply: https://boards.greenhouse.io/point72/jobs/7045995002?gh_jid=7045995002
- Source: https://jobmagic.ai/jobs/cubist-senior-data-scientist-point72-he9jm3

## Requirements

- PhD or 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
- 5+ years of experience as a Data Scientist or similar role
- Experience working with large data sets including predictive modeling
- Financial industry experience preferred but not required
- Strong organization, communication and interpersonal skills
- Intellectual curiosity and enthusiasm for learning
- Attention to detail and a love of processes
- Strong oral and written communication skills
- 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 Senior 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

- Building processes, tools and frameworks to ingest, clean and deliver datasets

- Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams

- Creation of in-house, value added, derived data products for consumption by investment teams

- Engaging with vendors and internal stakeholders to understand characteristics of datasets

- Partnering closely with investment teams to ensure their data requirements are met

- Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams

**REQUIREMENTS **

- PhD or 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

- 5+ years of experience as a Data Scientist or similar role

- Experience working with large data sets including predictive modeling

- Financial industry experience preferred but not required

- Strong organization, communication and interpersonal skills

- Intellectual curiosity and enthusiasm for learning

- Attention to detail and a love of processes

- Strong oral and written communication skills

- Ability to multitask and prioritize assignments

- Commitment to the highest ethical standards