• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 25th Aug 2025

• In terms of experience junior or mid (as long as they have the hard skills)
• No prior knowledge of financial products or experience is required
• They just have to be a self-starter, able to work well on their own with specific direction/guidance minimal hand-holding the most important thing is the tech skills

Soft skills

• Curiosity and analytical mindset
• Ability to learn new concepts and domains quickly
• Versatility to work in a partial greenfield environment
• Comfortable working with a broad scope with a geographically distributed team
• Able to work independently on a wide range of data engineering and analytical tasks

Hard skills

• Very strong python with good code hygiene
• Experience developing and testing data processes e.g. ETL, scraping, transformation etc.
• Experience exploring and working with new datasets, assessing data quality and exploring for valuable insights - preferably with financial or time-series datasets
• Familiarity with orchestration tools e.g. Apache Airflow
• Good understanding of cloud solutions - we are AWS based.
• Experience working with distributed compute frameworks to handle large data volumes e.g. Spark
• Experience building visuals for expert and non-expert audiences - preferably using plotly/dash
• Good source control practices and some experience with CI/CD
• Comfortable building and deploying containerised solutions.

Nice to have

• Experience developing and deploying machine learning models
• Experience working in financial markets
• Knowledge of best practices when back testing models.

Day to Day Duties

• Implement data on-boarding (ETL, web-scraping, etc.) and database management

• Implement best practices for data transformation, manipulation, and storage solutions 
• Build and maintain fundamental market models for supply and demand
• Build and maintain fundamental and price-based analytics (e.g. visualizations and dashboards)