Quantitative Developer | New Pod | Prop Trading Firm (NYC)

Delmar Nord; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Delmar Nord is seeking Quantitative Developers to join our Research team, a role that blends research and development to contribute on both fronts in a fast-paced finance environment.

You will help build a next-generation data platform using open-source, cloud, and distributed computing, delivering tools, APIs, and libraries that enable fast idea testing and signal deployment.

You’ll work in a collaborative, results-oriented culture that values initiative and strong work ethic.

Qualifications

• Degree in computer science with a quantitative focus or equivalent
• 2+ years of relevant work experience
• Strong academic or professional performance track record
• Hands-on production-quality Python for data-driven business
• Solid grasp of probability, statistics, and time-series methods
• Curious mindset and willingness to learn new tools
• Strong communication skills and data visualization ability

Responsibilities

• Write and maintain Python code powering research production workflows
• Build and improve components of the data science technology stack
• Run exploratory statistical analyses on large datasets
• Optimize performance in data analysis and numerical computing code
• Evaluate new tools and libraries within the PyData ecosystem
• Track developments in PyData and assess new technologies
• Collaborate with engineers to design data feeds from third-party vendors

Skills

Python

Pandas

NumPy

Data analysis

Time-series

Problem solving

Communication

Ownership

Education

Computer science or quantitative degree

Tools

Python tooling

SQL

Unix/Linux

Spark

Job description

About the Role

We\'re hiring Quantitative Developers to join our Research team. This is an opportunity that blurs the lines between research and development and allows you to contribute on both fronts. This is a collaborative, data-focused group that generates investment ideas, translates them into trading signals, back-tests those signals, and builds return, risk, and cost forecasts that inform trading decisions. The team values a supportive, professional culture built on initiative and strong work ethic.

The quantitative development function within Research builds the tools, APIs, and libraries that let the broader team generate, test, and deploy investment ideas faster.

In this role, you\'ll contribute to a next-generation research data platform built on open-source, cloud, and distributed computing technologies, working on projects that get adopted quickly and shape how the team operates.

What You\'ll Do

Scope will expand as your skills and experience grow. Depending on your strengths, your day-to-day may include:

• Writing and maintaining Python code that powers research production workflows


• Building and improving components of the data science technology stack


• Running exploratory statistical analysis on large, complex datasets from structured and unstructured sources


• Optimizing performance in data analysis and numerical computing code


• Evaluating new tools and libraries within the PyData ecosystem through proof-of-concept work


• Tracking developments in the PyData ecosystem and assessing new technologies


• Partnering with engineers to design data feeds from third-party vendors

What We\'re Looking For

• A degree in computer science with a quantitative focus (math, finance, etc.), or a quantitative degree with a computer science component


• 2+ years of relevant work experience


• A track record of strong academic or professional performance


• Solid analytical and problem-solving abilities


• Hands-on experience writing production-quality Python for a data-driven business, ideally in investment or asset management


• Advanced Python skills, particularly with pandas and numpy


• Strong grasp of object-oriented programming, data structures, and numerical algorithms


• Working knowledge of probability and statistics, including regression and time-series methods


• A curious mindset and openness to learning new tools


• Interest in financial markets (no prior experience required)


• Strong communication skills, including the ability to present data visually


• High energy and a strong sense of ownership

Keywords:

Python, R, pandas, numpy, Quantitative Development, Research, Investment Research, Trading Signals, Statistical Analysis, Data Science, Object-Oriented Programming, Data Structures, Numerical Algorithms, Probability, Statistics, Linear Regression, Time-Series Analysis, PyData, Distributed Computing, High-Performance Computing, Spark, Kafka, SQL, Unix, Linux, Unit Testing, Continuous Integration, DevOps, Containerization, Data Visualization, Dashboards, tidyverse, Cloud Computing, Investment Management, Financial Markets, Back-Testing, Risk Forecasting, Software Engineering, API Development, Data Analysis, Big Data