Evidence Lab Innovations, Tech Lead

  • Competitive
  • Londres, Angleterre, Royaume-Uni
  • CDI, Plein-temps
  • UBS
  • 23 mai 19

Job Reference # 191024BR

Your role

Evidence Lab Innovations, Tech Lead

Do you like to be challenged and encouraged to learn and grow professionally? o you want to design and build next generation business applications using the latest technologies?

UBS Evidence Lab Innovations is looking for a senior technical lead to join and lead its in-house web scraping platform. You'll be joining former Silicon Valley veterans from companies such as Facebook and Google, who are looking to revolutionize the space of alternative data in the financial industry.
The team is building a proprietary framework used to scale the harvest and mining of large online datasets. We leverage well-established engineering processes and techniques pioneered by giants in the tech industry. 

No background in finance is required, so this is a great opportunity for those in the tech world to get exposure to the finance industry. Think of the team as an extremely well-funded, stable engineering startup, living within an investment bank.

Your team

UBS Evidence Lab is the largest, most experienced primary research team in sell-side IB research. We design, develop, and maintain a range of complex systems to enable the capture and analysis of data using both traditional and Big Data technologies. To that extent, we have invented and built some of the industry's most innovative techniques and methodologies. The team is comprised of professionals with decades of combined experience in various fields within software engineering, geospatial, financial, earth sciences, data science, and statistical analysis.

Your expertise

Minimum Qualifications:
• established track record in designing, building, deploying, and maintaining scalable systems
• experience programming within a web scraping platform
• second-nature knowledge of algorithms and data structures
• knowledge developing and debugging Python
• 5+ years of professional experience
Preferred Qualifications:
• formal education in Computer Science or related quantitative field
• experience with distributed systems