Senior Research Engineer (Data)

Role Overview

Data Research Engineers in Citadel Securities are responsible for the curation of large-scale structure and unstructured data and for data assimilation across a multitude of sources. They focus on the translation of high-level conceptual queries to efficient back-end queries on extremely large-scale data collections. Our data science is supported by state-of-the-art cloud-based services that scale out. The advanced queries will be crucial in enriching alpha signals for our multi-billion-dollar Systematic Business and research function, enabling us to deliver a competitive edge against competitors.

Our team of talented Data Research Engineers works hand-in-hand with the QR teams to design the most insightful queries. In addition, they closely work with business operations and QRs in order to identify and evaluate the most promising datasets from anywhere in the world and available in numerous modalities. We are looking for individuals passionate about driving business impact through data!

Responsibilities

Act as data owner of several datasets each with its own unique schema and delivery frequency

Partner with researchers to produce high-value datasets

Design, create, automate, and maintain custom data pipelines

Extract the raw data

Clean and normalize the data

Translate high-level market research concepts into scalable processes that further transform the data

Handle all edge cases

Develop high-performance schemas and queries

Setup “data checks” and alerts to determine when the data is “bad”'

Load the processed dataset to a format easily digested by quantitative researchers and models

Develop tooling to facilitate the development and monitoring of custom data pipelines

Setup analytical infrastructure to facilitate exploration and visualization of datasets

Large scale cloud development of applications as a service

Skills and Qualifications

Required:

Demonstrated experience driving meaningful business outcomes through data engineering

Prior ownership of a data project (or at least a large part of it)

Strong attention to detail

Good analytical and quantitative abilities

Demonstrated ability to quickly learn new technologies and skills

Experience with ETL dev

Preferred:

Experience with data manipulation and query design and optimization

Experience in time series forecasting and machine learning techniques

Strong data science skills

Strong coding skills: proficiency in Python, SQL DBs, Cloud, schedulers, containers, CI/CD, software packaging

Strong ability to communicate with other stakeholders (e.g., data vendors, QRs, etc.)

Data Build Tool (DBT)

Education: BS degree in Computer Science, Mathematics, or related Computer Engineering or Science curriculum