Hello All,
We are looking for a "Quantitative Data Scientist"
Below is the JD for review-
Quantitative Data Scientist
Chicago, IL (Hybrid 3 Days a Week)
W2/FT Preferred
***Local Candidates Highly Preferred***
Quantitative Financial Experience: 4+ years
Experience developing quantitative financial investment (like Fixed Income, Equities or multi-asset) models and algorithms
Experience working with large financial datasets. Ability to integrate and manage large datasets from diverse sources to support quantitative analysis.
Ability to work cross-functional with software engineers, quant researchers and product manager
Proficiency in working with large data sets and databases
Background of Data Science and machine learning in quantitative methods
Benefits & Perks:
Part of our mission statement is to provide a great life for our employees. We believe that happy employees make for a better company, so we take care of them. Here are a few of the perks we offer:
- Flexibility for you to work in-office, hybrid or remote
- Medical and Dental Premiums
- Startup culture with opportunity to grow
- Performance bonuses
- Health, dental and vision insurance plans
- Pursue growth and learning with career development expenses
What We Do
Driving Innovation through Advanced Data and AI Services.
We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.
To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:
01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases
02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud
03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment
