• 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 :- 22nd 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
Data Scientist / Quant
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)