Junior Quantitative Developer
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Before you apply
SalaryNo pay range posted
LocationNew Jersey
Work modeon-site
Typefull-time
SeniorityEntry
Experience1–3 yrs
DepartmentEngineering
Company size51–200 people
PostedJan 23, 2025 · 1y ago
Verified live20h ago
May no longer be actively hiring
Posted by the company on Jan 23, 202593% of this company's open roles have been listed for 90+ daysNo pay range listed, though New Jersey requires one
At a glanceSummarised by Seekless from the posting.
Bachelor's degree or higher in computer science or a related technical area
1-3 years of experience in programming for a professional setting
Proficient in C++
Proficient in Python
Being fast, rigorous and critical in thinking
Effective communicator with a strong sense of teamwork
Highly motivated and capable of thriving in a fast-paced environment
Familiarity with the state-of-the-art data engineering ecosystem is a plus
Experience in processing financial data is a plus
Experience in machine learning is a plus
Knowledge of quantitative research and trading is a plus
Skills
C++
Python
Responsibilities
Job Responsibilities:
1.
Design, develop, maintain, and optimize in-house research data platforms (including price volume, fundamental, and alternative data), providing quantitative researchers with reliable, high-quality, and stable data sources and analysis tools.
2.
Establish protocols for data injection, processing, quality assurance, anomaly detection and archiving, and streamline and improve processes.
3.
Work with external partners to onboard new datasets, conduct domain-specific data analysis and data mining for new datasets, and collaborate with quant researchers to evaluate new data sources.
4.
Develop and maintain quantitative research tools.
Requirements
Qualifications:
1.
Bachelor’s degree or higher in computer science or a related technical area.
2.
1-3 years of experience in programming for a professional setting.
3.
Programming skills: proficient in the following programming languages - C++ and Python.
4.
Familiarity with the state-of-the-art data engineering ecosystem is a plus.
5.
Experience in processing financial data is a plus.
6.
Experience in machine learning is a plus.
7.
Knowledge of quantitative research and trading is a plus.
8.
Being fast, rigorous and critical in thinking.
9.
Effective communicator with a strong sense of teamwork.
10.
Highly motivated and capable of thriving in a fast-paced environment.