Cubist Data Analyst

Point72; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading financial institution in Singapore is seeking a Data Analyst to join its dedicated team. This role involves analyzing financial datasets, creating data pipelines, and engaging with vendors. Ideal candidates should possess strong programming skills in Python and SQL, along with excellent communication and organizational abilities. The position offers a unique opportunity to contribute to a large research infrastructure in a dynamic environment.

Qualifications

• Strong programming skills in Python and SQL.
• Experience with AWS and Airflow is a plus.
• Ability to multitask and prioritize assignments.

Responsibilities

• Analyzing financial datasets and preparing reports for investment teams.
• Creating derived data content and data ingestion pipelines.
• Identifying potential data sources.

Skills

Python

SQL

AWS

Airflow

Organizational skills

Communication skills

Interpersonal skills

Attention to detail

Job description

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

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 group is lookingfor aData Analyst to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data tosome of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of Data Scientists/Analysts who 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

• Analyzing financial datasets and preparing reports for investment teams
• Creating derived data content and data ingestion pipelines
• Identifying potential data sources
• Engaging with vendors to understand characteristics of datasets
• Defining and automating qualitative data checks
• Assist with data questions and requests from investment teams
• Creating and maintaining internal documentation on datasets

Requirements

• Strong programming skills in Python and SQL. Experience with AWS 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 process
• Strong oraland writtencommunication skills
• Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
• Ability to multitask and prioritize assignments

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