About Markets Technology/ Client Facing Technology
Client Facing Technology (CFT) is responsible for globally supporting and facilitating clients' trading strategies. Our clients are typically hedge funds or similar organizations responsible for product discovery. They require a significant degree of customization, have high expectations, and demand very rapid turnaround. The key to success is ensuring our applications form an integrated gateway to the capabilities of the entire firm. This means not only joining forces and sharing data with each other, but building the bridge between Prime Services and the firm’s risk, regulatory, accounting, and centralized data services.
About Research IT
The Research IT group is part of the Markets Pre-Trade transaction cycle. The team is responsible for the full lifecycle of research, from initial creation to final delivery to our clients via a number of channels. The Research IT group has several teams dealing with different aspects of research authoring, archiving, and distribution.
Overall Purpose of Role
The candidate will closely work with Research data scientists and technical teams to design and build the technological platform for data analysis.
Key Accountabilities
- Work with other technical teams to design the data storage and data pipelines, including selecting the right tools for data requisition, data cleansing, storage, and governance.
- Work with data scientists to develop data pipelines for the data input for data analytics models.
- Assist data scientists in developing data models, including adapting newer technologies in machine learning.
- As an experienced developer, mentor other team members in machine learning.
Basic Qualifications
- 4-year college degree in Computer Science, Mathematics, or equivalent.
- 5+ years of software development experience.
- 3+ years of experience in machine learning.
- 3+ years in extensive programming in Python or R.
- 3+ years of experience in relational database or NoSQL database.
- 3+ years of experience in using Linux/Unix.
Preferred Qualifications/Skills
- Preferred prior experience in data science projects in other financial firms or tech firms.
- Preferred graduate degree in statistical analysis or applied mathematics.
- Preferred experience in deep learning.
- Preferred experience in statistical analysis.