Data Engineer

Roles & Responsibilities

ExodusPoint Capital, founded in 2017 by Michael Gelband, began managing investor capital in 2018. The firm employs a global multi-strategy investment approach, seeking to deliver compelling asymmetric returns by combining complementary liquid strategies managed by experienced investment professionals within a robust risk framework. ExodusPoint brings together an accomplished team with hands-on experience running multi-manager businesses to create an institutional investment management firm.

ExodusPoint is seeking an experienced Data Engineer with financial data knowledge to join an established data engineering team to help build a next generation data offering for ExodusPoint’s diverse investment teams, varying across asset classes and strategies. The ideal candidate is a domain expert on financial datasets who has technical skills to work with business and create enterprise data assets utilizing advanced data processing techniques and tools.

The Enterprise Data group is focused on building a robust data platform which services a diverse set of investment teams and internal clients. The group consists of data sourcing experts, data product specialists, data scientists and data engineers, who are responsible for the discovery, management, and curation of thousands of alpha sources for the firm and our investment professionals.

Responsibilities :

•  Build data sets using Python, SQL, Snowflake, Kafka, AWS, and other related technologies.
•  Understand financial reference data sets from Bloomberg and / or Refinitiv.
•  Engage with vendors and technical teams to systematically ingest, evaluate, and create valuable data assets
•  Engage with technical and non-technical clients as SME on data asset offerings
•  Collaborate with core engineering team to create central capabilities to process, manage and distribute data assts at scale
•  Apply robust data quality rules to systemically qualify data deliveries and guarantee the integrity of financial datasets
•  Investigate and remediate domain-specific production issues escalated by the operations teams
•  Enrich the central data catalog with advanced data profiling visualizations to enable discovery and evaluation
•  Build up internal documentation and sample uses cases of the data sets
•  Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures.

Qualifications :

Desired Qualifications :

Tell employers what skills you have

Bloomberg

Agile Project Management

Data Modeling

Pipelines

Hadoop

ETL

Data Quality

Data Engineering

EMR

SQL

Python

Apache Kafka

API

S3

Data Warehousing

Data Strategy