About the role
structured by ORIAre 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?
What you will do
- 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.
What they are looking for
- Minimum of 2 years of related experience
- Strong proficiency in programming languages like Python, R
Nice to have
- Bachelor's degree preferred or equivalent experience
Full posting text
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.
The Impact You Will Have In This Role
The Quantitative Associate is responsible for the development and implementation of quantitative models and algorithms that are critical for informed decision-making and risk management. Their work involves building efficiency, reliability, and security of financial systems by enabling rapid adaptation to evolving market conditions and new data insights, proposing and recommending solutions that solve complex business problems.
Your Primary Responsibilities
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.
Qualifications
Minimum of 2 years of related experience
Bachelor's degree preferred or equivalent experience
Strong proficiency in programming languages like Python, R
Talents Needed For Success
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.
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Financial Services