Location: 277 Park Avenue, Manhattan, New York City for 3 days in the office, Hybrid

Interview: 2 rounds. 1 ZOOM video meeting and 1.5 hour in-person in the office. Candidates must be local as in-person final interview is an ABSOLUTE REQUIREMENT

Linkedin- yes

Python Data Engineer Developer for Financial Market Data

Hybrid role - Local candidate only

Final Round will be onsite

Title - Python Data Engineer for market surveillance

The Bank is looking to expand its Market Surveillance capabilities across the Americas Division. Looking for someone who can work independently and own the current file transfer process, for example, from eVenues to our strategic monitoring platform. Candidate will be responsible for expanding into new phases of the project, proposing technical solutions, planning, estimating and ultimately delivering and supporting the initiative.

Role Details

Required technical skills:

• Python, Autosys/JIL, Azure Blob storage / Keyvault understanding
• Data analysis, SQL
• DevOps pipeline expertise (Github, AWS)
  
  

Nice-to-havenot Required

• Redline Trading Solutions or ION exposure
• FIX message exposure
  
  

Non-technical Skills

• Understanding of Fixed Income products, specifically US Treasuries, Futures data, and Market Liquidity Order data flows
• Collaborate with various stakeholders, including engineers, designers, and vendors. Align diverse perspectives to ensure everyone is working toward the same vision.