- Experience with financial data: prices, market data, transactions, instruments
- Familiarity with point-in-time data, look-ahead bias and survivorship bias
- Experience with a modern cloud data stack, such as Spark or Databricks, dbt, a cloud warehouse, and orchestration
- Experience with Airflow, Kafka, and GCP (esp. GKE, Dataproc, and Big Query), strongly preferred
- Experience with Polars, Pandas, Spark, Apache Beam, Apache NiFi
- Experience at a trading firm, systematic fund, brokerage, crypto exchange or market data company
- On-call or incident response experience
At Flow Traders, we acknowledge the importance of open and transparent communication whether it be with our employees, our stakeholders, or our local and global communities. When it comes to salary, Flow Traders uses reliable market research to create base ranges. Where candidates will fall within the range depends on a few different factors including but not limited to level of experience, location, and specific skill set. We also consider ourselves one global team, and to demonstrate that, all employees are eligible to share in the company’s success through an annual discretionary variable remuneration allocated based on company, group and individual performance and contribution.
Per NYC salary transparency law, the total compensation for this role includes a base range of $165,000 to $210,000 plus annual discretionary variable remuneration.
Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.