Associate, Data & Technology
Core
Build, deploy, and support trade software systems, analytical tools, and scalable trading engine infrastructure while analyzing market data to identify trading and operational efficiency opportunities.
Role type
Associate, Data & Technology (Financial Systems & Data Engineering)
Builds
Trade software systems, analytical tools, scalable trading engine infrastructure, and data pipelines.
Domain
Financial Services / Quantitative Trading / Data Engineering
Required skills
SQL, Python, Java, Bash, Terraform, Docker, Apache NiFi, Apache Airflow, AWS (S3, IAM, Athena, SNS, EC2), Snowflake, Linux/UNIX administration, DevOps practices, incident response protocols, mathematical modeling, statistical analysis.
Preferred skills
None stated.
Technologies
Octopus, JIRA, Confluence, GitHub, AWS, Snowflake, Apache NiFi, Apache Airflow, Terraform, Docker.
Responsibilities
Partner with trading, sales, operations, and senior management to understand key system issues in the trade lifecycle and propose technical solutions; Gather and analyze large sets of data through various systems and implement complex mathematical calculations; Utilize statistical and machine learning tools to analyze market data and identify trading and operational efficiency opportunities; Propose changes in trading systems based on data analysis and simulation results; Support a 24x7 technical production environment using robust incident response protocols for financial data integrity and compliance; Administer and support Linux and UNIX based operating systems; Conducting regular audits and maintaining documentation to meet financial regulatory standards.
Seniority
Associate (2+ years experience).