Quantitative Software Developer

Point72 Asset Management, L.P; New York (NY); On-site; USD 125,000 - 175,000; Full time

Job summary

A leading financial firm in New York is seeking a Junior Quantitative Software Developer to join their data services group. The role involves building processes for data management and assisting data scientists with product development. Candidates should have a B.S. in computer science or a relevant quantitative field, and proficiency in Python. The annual salary range is $125,000-$175,000 USD, plus a comprehensive benefits package.

Qualifications

• Proficiency in Python and its ecosystem.
• Knowledge of data processing, enrichment, and product development.
• Hands-on experience with software architecture and engineering best practices.

Responsibilities

• Building processes and technology tools to ingest, tag, and clean datasets.
• Assisting Data Scientists with data processing and product development.
• Monitoring and enhancing the automated data collection and cleansing infrastructure.

Skills

Proficiency in Python

Understanding of Python internals

Strong problem-solving skills

Communication skills

Intellectual curiosity

Education

B.S. or higher in computer science, engineering or a relevant quantitative field

Tools

numpy

pandas

polars

scikit-learn

Go

C++

Job description

Role/Responsibilities:

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 looking for a junior Quantitative Software Developer to join our dedicated 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.

This exceptional individual will be a member of a small team of data and software developers 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 include:

• Building processes and technology tools to ingest, tag and clean datasets.
• Assisting Data Scientists with data processing, enrichment, and product development.
• Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
• Monitoring and enhancing the automated data collection and cleansing infrastructure.
• Researching new technologies for improved data management and efficient retrieval.

Requirements:

• B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
• Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
• Proficiency with Go and/or C++ is not required but is a big plus
• Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
• Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
• Intellectual curiosity and a love of learning.
• Strong oral and written communication skills.
• Commitment to the highest ethical standards.

The annual base salary range for this role is $125,000-$175,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.