Job Responsibilities:
Design, build, and maintain internal tools and applications to support middle-office functions (e.g., trade capture, PnL reconciliation, position reporting).
Collaborate with operations, risk, compliance, and portfolio management teams to gather requirements and translate them into scalable technology solutions.
Automate and improve workflows across trade lifecycle processes.
Develop and maintain data pipelines to ingest, transform, and store financial data from various sources (e.g., market data, trading platforms).
Build and optimize data models for analytics, risk, and reporting use cases.
Ensure high data quality, integrity, and availability across systems.
Qualifications:
Bachelor's or Master’s degree in Computer Science, Engineering, Finance, or a related field.
2-3 years of experience as a developer or data engineer in a financial services environment.
Strong programming skills in Python, with experience in libraries like Pandas, NumPy, or PySpark.
Experience with SQL and relational databases (e.g., PostgreSQL, SQL Server, or similar).
Familiarity with middle-office systems, trade lifecycle, and reconciliation workflows.
Experience with ETL tools or building custom data pipelines.
Knowledge of version control (e.g., Git), CI/CD pipelines, and development best practices.
Top Skills
What We Do
Scientech Research Capital is a quantitative trading firm founded by wall street veterans each with 10+ years of proven track record from top-notch firms. SRC strives to leverage the innovations and breakthroughs in technology to discover fundamental values in the financial markets. We pride ourselves in adhering to scientific principles and nurturing creativity in quantitative research. As a proprietary trading firm, we utilize our own capital to deploy investments. Currently we have presence in major US and Asian exchanges with daily trading volume over $500MM USD. Since the company founded in 2019, our trading strategy and infrastructure have weathered through the 2020 financial market storm, riding unseen volatility spike and handling massive data volume with ease. We are actively seeking talents to build out our multi-asset trading and research platform, and extend the footprint to global markets.
