Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
As a Barclays Research Data Scientist, you will analyze alternative data and data science methods to inform financial research collaboratively with finance domain experts. You will also be developing our methods and infrastructure for producing this research, and thereby increase our productivity over time, work on longer-term projects to improve our capabilities, e.g. by developing neural language models on text, and innovating new bias adjustment methods.
This role is regulated by FINRA.
Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We've helped millions of individuals and businesses thrive, creating financial and digital solutions that the world now takes for granted. An important and growing presence in the USA, we offer careers providing endless opportunity.
What will you be doing?
What we’re looking for:
Skills that will help you in the role:
Where will you be working?
You will be working at our Americas Headquarters at 745 Seventh Avenue. This 37-story office tower is located in Times Square in the heart of Manhattan and features a cafeteria and fitness center.
Barclays is a British multinational universal bank, headquartered in London, England. Barclays operates as two divisions, Barclays UK and Barclays International, supported by a service company, Barclays Execution Services.