Senior Quantitative Developer

Nebula Research & Development LLC - Global StatArb; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

An established industry player is on the lookout for a talented Sr. Quantitative Developer to enhance their technology team. This role involves close collaboration with quantitative researchers to optimize libraries and develop high-performance order and execution management systems. You will also be responsible for building and optimizing data pipelines that handle extensive time-series and historical financial data. If you have a strong background in Python and a keen interest in financial markets, this is an exciting opportunity to make a significant impact in a dynamic environment focused on investment management.

Qualifications

• 5+ years in quantitative development with strong Python skills.
• Experience in high-performance computing and large-scale data sets.

Responsibilities

• Collaborate with quants to optimize libraries and develop systems.
• Build and optimize data pipelines for financial datasets.

Skills

Python

C++

Java

Data Analysis

High-Performance Computing

SQL

Education

Degree in Computer Science or related field

Master’s or PhD

Tools

Pandas

NumPy

SciPy

TensorFlow

PyTorch

MySQL

Snowflake

Job description

We are seeking a talented and highly motivated Sr. Quantitative Developer to join our dynamic team at Nebula Research and Development. As a key member of our technology team, you will collaborate closely with quants and other developers to build and optimize the systems that power our operations.

Key Responsibilities

1. Work closely with quantitative researchers and other developers to optimize libraries used.
2. Develop high-performance Order and Execution management systems. Ensure scalability and fault-tolerant infrastructure.
3. Build and optimize data pipelines for time-series data, historical financial data, and other relevant datasets. Ensure robust data collection, cleaning, and preprocessing processes.

Education & Experience

1. A degree in Computer Science or a related quantitative field. Advanced degrees (Master’s or PhD) are a plus.
2. 5+ years of experience in a quantitative development role.
3. Strong proficiency in Python (required), C++ or Java, and experience with high-performance computing in a Linux environment.
4. Experience with data analysis libraries (e.g., Pandas, NumPy, SciPy, TensorFlow, PyTorch) and working with large-scale data sets.
5. Familiarity with SQL databases (e.g., MySQL, Snowflake) for querying and managing large datasets.
6. Ability to write clean and highly optimized code.
7. Keen interest in financial markets is preferred.

The annual base salary for this role ranges from $150,000 to $250,000 (USD). In addition, the employee who is hired will be eligible for discretionary bonus compensation.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Finance and Sales

Industries

Investment Management