Data Analyst, Exploration

Description

The firm is a diversified trading company with more than 30 years in business. It combines advanced technology with strong people to trade in markets worldwide, using its own capital and bearing its own risk.

Headquartered in Chicago, with offices across the U.S., Canada, Europe and Asia, the firm trades Fixed Income, ETFs, Equities, FX, Commodities and Energy in all major global markets. It has also expanded into real estate, venture capital and cryptoassets.

This role sits in the data team and covers onboarding, managing and maintaining datasets used by traders and quantitative researchers. You will work with data strategists, data engineers and teams in technology, operations, research and risk management, and you will need to be comfortable untangling complex data problems at speed.

Responsibilities

• Profile new datasets, define what data engineers need to collect and store them, and share useful findings with data strategists and front-office stakeholders.
• Measure and analyze datasets for completeness, validity, accuracy, timeliness and consistency.
• Maintain data catalog entries so research data assets are accurate and easy to find.
• Work with global front-office research teams across each dataset's lifecycle, answer content questions and handle communication with external data vendors.
• Find and fix production data issues, coordinating with stakeholders in several teams and helping provide support across time zones.
• Look for ways to improve existing datasets and data management processes that help the wider team.

Requirements

• One to two years of relevant experience.
• A solid working knowledge of financial instruments and market data symbology, with a desire to deepen it.
• Working proficiency in SQL and Python for exploratory data analysis, including PySpark, pandas, numpy and Jupyter Notebooks.
• Ability to document complex analysis findings and explain them clearly.
• Very careful attention to detail and strong communication skills.
• Ability to work both independently and as part of a team.
• Enhances consideration: hands-on use of cloud services such as AWS Athena and Amazon S3.
• Enhances consideration: familiarity with Linux and basic Bash scripting.
• Enhances consideration: experience with version control tools such as Git.
• Enhances consideration: good grasp of data management and data quality principles, with experience building data quality checks or reports.
• Enhances consideration: prior use of the Bloomberg Terminal.
• Enhances consideration: experience with Apache Airflow or similar tools.

Conditions

Annual base salary of $100,000 to $120,000, set according to experience, qualifications and relevant skill set.

Benefits

• Eligible for an annual discretionary bonus.
• Comprehensive benefits including group medical, pharmacy, dental and vision insurance.
• 401k with discretionary employer match.
• Short and long-term disability, life and AD&D insurance.
• Health savings accounts and flexible spending accounts.