Financial Data Engineer

FedEx; Honolulu (HI); On-site; USD 100,000 - 135,000; Full time

Benefits offered by this job

Competitive financial rewards

401K matching program

Friendly work environment

Job summary

Hull Tactical is seeking a data manager to join our equity options team to build and manage daily data processes. The mission is to curate and analyze fundamental and sentiment data (news, social, Reddit, etc.) to anticipate market movements in US listed companies including “meme” stocks.

Practical experience managing a “fundamental data” store is necessary for a candidate to be successful. Position Location: Chicago, IL.

Qualifications

• Experience with fundamental data from vendors such as FactSet, Bloomberg, Thomson Reuters or EOD Historical Data.
• Experience with basic relational modeling and SQL.
• Practical experience working with MySQL, PostgreSQL or similar databases.
• Experience working in a Linux environment.
• Basic Linux command line skills and familiarity with simple Bash scripts.
• Python scripting to build and maintain data ingestion pipelines.
• Experience with Pandas and with Python database scripting.
• Managing daily recurring data processing jobs with tools such as cron, rundeck, etc.

Skills

Fundamental data handling

SQL

Relational modeling

Python scripting

Pandas

Linux

Data ingestion pipelines

Cron/Rundeck

Education

Bachelor’s degree in CS/IT or related field

Tools

MySQL

PostgreSQL

Git

Job description

Full job description

Hull Tactical is seeking a data manager to join our growing equity options team to build and manage daily data processes. The mission is to curate and analyze fundamental and sentiment data (news, social, Reddit, etc.) to anticipate market movements in US listed companies including “meme” stocks. Practical experience managing a “fundamental data” store is necessary for a candidate to be successful.

“Fundamental data” means information about individual US stocks and options that is updated at most daily. Examples are:

• Corporate actions, such as dividends and splits
• Symbol name changes
• Industry sector mapping and changes
• Earnings dates

Fundamental data is mostly sourced from vendors such as FactSet, Bloomberg, Thomson Reuters or EOD Historical Data. Some of the fundamental data is derived in‑house from intraday data including trading volume, open interest, and aggregated tick data.

Position Location: Chicago, IL

Required Skills

• Experience with fundamental data from vendors such as FactSet, Bloomberg, Thomson Reuters, EOD Historical Data
• Experience with basic relational modeling and SQL
• Practical experience working with MySQL, PostgreSQL or similar databases
• Experience working in a Linux environment
• Basic Linux command line skills and familiarity with simple Bash scripts
• Python scripting to build and maintain data ingestion pipelines
• Experience with Pandas and with Python database scripting
• Managing daily recurring data processing jobs with tools such as cron, rundeck, etc.

Desired Skills

• Python programming
• Experience using git, feature branches and automated testing
• Experience with generating data for reporting tools using Python
• Prior experience working on a fundamental data team
• Ability to identify and correct performance bottlenecks
• Bachelor’s or advanced degree in computer science, information technology or related field

What We Offer

• Competitive financial rewards with further upside tied to individual, team, and firm performance
• Employee benefits that include exceptional insurance and 401K matching program
• Friendly and collegial work environment
• Opportunity to learn from successful industry experts