Citadel Securities Logo

Citadel Securities

Senior Research Engineer (Data)

Reposted 4 Days Ago
In-Office
Miami, FL
Senior level
In-Office
Miami, FL
Senior level
The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.
The summary above was generated by AI
Job Description
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

About Citadel Securities
Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market's most critical challenges, turning big ideas into real-world outcomes.

Top Skills

Ci/Cd
Cloud
Dbt
ETL
Python
Software Packaging
SQL

Similar Jobs at Citadel Securities

8 Hours Ago
In-Office
Miami, FL, USA
Internship
Internship
Information Technology • Software • Financial Services
As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.
Top Skills: C++Distributed ComputingMachine LearningNatural Language ProcessingNetworkingPlatform DevelopmentPythonRSystem DesignWeb Development
8 Hours Ago
In-Office
Miami, FL, USA
Senior level
Senior level
Information Technology • Software • Financial Services
The Senior Platform Infrastructure Engineer will design, develop, and maintain infrastructure software, collaborate with teams, and troubleshoot issues across trading systems.
Top Skills: BazelC++GitJenkinsJIRALinuxPythonTerraform
4 Days Ago
In-Office
Miami, FL, USA
Mid level
Mid level
Information Technology • Software • Financial Services
Conduct research and statistical analyses, develop quantitative trading strategies, and back test models in a live trading environment.
Top Skills: C++MatlabPythonR

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account