Junior Quantitative Developer

Scientech Research LLC; Jersey City (NJ); On-site; Full time

Job summary

A leading research firm in Jersey City is seeking a skilled candidate to design and maintain in-house research data platforms. The ideal applicant should hold a Bachelor's degree in computer science and have 1-3 years of experience in a programming setting, preferably with proficiency in Python and its scientific ecosystem. Responsibilities include establishing data processing protocols and collaborating with external partners for data onboarding and analysis, in a fast-paced and team-oriented environment.

Qualifications

• Bachelor's degree or higher in computer science or a related technical area.
• 1-3 years of experience in programming for a professional setting.
• Proficiency in Python and its scientific computing tools.

Responsibilities

• Design, develop, and maintain in-house research data platforms.
• Establish protocols for data processing and quality assurance.
• Collaborate with partners for new datasets and conduct data analysis.

Skills

Python programming

Data analysis

Teamwork

Critical thinking

Fast-paced environment adaptability

Education

Bachelor's degree in computer science or related field

Tools

Python

Numpy

Pandas

Job description

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.

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. Proficiency in the Python programming language and its scientific computing ecosystem (numpy, Pandas, Arrow, etc.) is preferred.
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.