Quantitative Development Internship (Remote)
Finflock Systems Private Limited
Remote • 정규직 인턴십
지원자 1명
- 봉급
- Stipend: INR 14,000 – INR 19,000 / month
- 지속
- 6개월
- 시작
- 즉시
- 채용 공고
- 5
Candidates must be available for a remote internship lasting six months, capable of starting between July 20 and August 24, 2026, and possess the relevant skills and interests in quantitative development. Applicants should be currently enrolled in quantitative degree programs such as Computer Scien…
- 작업 모드
- 재택근무
- 교육
- Bachelor's in Computer Science or related quantitative field
- 재개하다
- 신청 시 필수 사항
인턴십 소개
About the Internship
We are looking for a driven Quantitative Developer Intern eager to assist in designing and refining data-centric algorithms and quantitative models. This role offers a valuable chance to collaborate closely with senior developers and researchers, acquiring practical experience in the construction, evaluation, and scaling of advanced financial technologies.
Key Responsibilities
- Contribute to developing, implementing, and testing quantitative models and trading algorithms.
- Examine extensive high-frequency datasets and create tools to enhance data intake and analysis operations.
- Participate in thorough backtesting and model validation using both historical and live market data.
- Work collaboratively with the tech team to improve code efficiency and scalability, focusing on low-latency systems.
- Document comprehensively all algorithms, workflow processes, and tools developed.
Who Can Apply
- Individuals available for a remote internship position.
- Candidates who can commence between July 20, 2026, and August 24, 2026.
- Those who can commit to a six-month internship duration.
- Candidates with relevant skills and interests.
- Students pursuing degrees in Computer Science Engineering or closely related quantitative fields.
Required Qualifications and Skills
- Currently enrolled in Bachelor’s, Master’s, or Ph.D. programs in Computer Science, Mathematics, Statistics, Engineering, or similar quantitative disciplines.
- Strong knowledge of Python and its scientific libraries such as Pandas, NumPy, and SciPy.
- Experience working with relational or non-relational databases for managing large datasets.
- Basic understanding of data analysis techniques and introductory machine learning concepts.
- Fundamental knowledge of financial markets, time-series data analysis, and quantitative methods including statistical concepts and risk management.
Preferred Skills
- Familiar with additional programming languages such as Java or C# for software integration.
- Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Knowledge of quantitative finance frameworks like QuantConnect, Backtrader, or Zipline.
- Understanding of algorithmic trading methods including market making and statistical arbitrage.
- Proficiency in data visualization tools (Plotly, Tableau) and version control systems (Git).
- Awareness of financial data platforms such as Bloomberg or Refinitiv/Reuters.
Compensation and Benefits
- The stipend ranges from ₹14,000 to ₹19,000 per month, comprising a fixed component of ₹12,000 to ₹15,000 and an incentive of ₹2,000 to ₹4,000 monthly.
- A certificate will be provided upon successful completion of the internship.
About the Company
Finflock Systems is a prominent fintech startup leveraging cloud computing, AI, machine learning, along with mathematics, statistics, and operations research to deliver advanced analytics and research intelligence. The company develops scalable, intelligent tools and services catering to finance sector businesses of various sizes worldwide.