Data Science Associate

Job Description

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

• Extracting, cleaning, and transforming financial data from various sources.
• Developing data pipelines for efficient data acquisition and processing.
• Performing statistical analysis and machine learning to extract insights from data.
• Developing and implementing quantitative models and algorithms using programming languages like Python.
• Translating theoretical models from quantitative researchers into practical, executable code.
• Building and maintaining the infrastructure to support model development, including APIs and data pipelines.
• Conducting thorough back testing and validation of models to ensure accuracy and reliability.
• Optimizing model performance for speed and efficiency, and adaptability to changing market conditions and new data insights.
• Working closely with quantitative analysts, and other IT teams to understand requirements and integrate models into IT systems.
• Effectively communicating technical information and model performance results to various stakeholders.

• Minimum of 2 years of related experience
• Bachelor's degree preferred or equivalent experience
• Strong proficiency in programming languages like Python, R

• Data analytical skills to analyze large datasets, identify patterns, trends, and anomalies that can inform model development and decision-making.
• Understanding of capital markets, instruments and financial risk
• Knowledge of statistical modeling, machine learning, and mathematical finance is necessary.
• Good communication and collaboration skills to work effectively with diverse teams and to communicate their findings and model behavior to both technical and non-technical stakeholders.