Data Strategy & Platform Lead

Drweng; Chicago (IL); On-site; USD 125,000 - 175,000; Full time

Benefits offered by this job

Health insurance and dental

401k with discretionary match

Health Savings Accounts and FlexibleSP

Job summary

DRW in Chicago is seeking a Data Strategist to grow our Unified Platform Data Management capabilities. You will translate business needs into data requirements and work with traders and researchers to enable better decision-making.

You will curate datasets, onboard new sources, and ensure accessible, interoperable data for front-office users. Collaboration with data engineers and contract management will be essential.

Qualifications

• Knowledge of modern financial markets and instruments
• 5+ years working with front office stakeholders (traders/researchers) to fulfill data needs
• Experience performing data analysis in SQL and Python using pandas
• Experience using cloud-based tools like AWS S3 or Snowflake
• Strong organizational and relationship management skills

Responsibilities

• Develop data requirements and provide recommendations to front office traders and researchers
• Drive curations of data sets for broad discoverability within the platform
• Manage data onboarding lifecycle for the platform
• Collaborate with data engineers and Contract Management to track progress and priorities
• Build relationships with front office users to promote data platform offerings
• Ensure datasets meet completeness, accessibility, and interoperability requirements
• Manage access to datasets to support trading strategy ideation
• Engage with external vendors to stay updated on new offerings and trends

Skills

Financial markets knowledge

Front office collaboration

SQL

Python

Cloud platforms (AWS/Snowflake)

Relationship management

Tools

SQL

Python

Snowflake

AWS S3

Job description

DRW in Chicago is seeking a Data Strategist to grow our Unified Platform Data Management capabilities. You will translate business needs into data requirements and work with traders and researchers to enable better decision-making.

You will curate datasets, onboard new sources, and ensure accessible, interoperable data for front-office users. Collaboration with data engineers and contract management will be essential.