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Citadel Securities
Senior Research Engineer (Data)
Citadel Securities · Miami, FL, United States · via Citadel Securities
16 hours ago
Full–time
Apply directly on Citadel Securities
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Job highlights
Identified by Google from the original job post
Qualifications
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
10 more items(s)
Responsibilities
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
Act as data owner of several datasets each with its own unique schema and delivery frequency
12 more items(s)
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
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Citadel Securities
Machine Learning Engineer
Citadel Securities · Miami, FL, United States · via Citadel Securities
16 hours ago
Full–time
Apply directly on Citadel Securities
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Job highlights
Identified by Google from the original job post
Qualifications
2+ years of experience in machine learning and software development
Strong engineering skills, including Python, CUDA, C++
Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar)
Responsibilities
As a ML/Research Engineer at Citadel Securities, you will work closely with researchers to design and build the next generation library for deep learning within the firm
Work with researchers to understand their needs and add new functionality
Work with HPC experts to optimize the largest existing workflows and deliver training speed improvements and cost savings
1 more items(s)
Job description
Role Summary
As a ML/Research Engineer at Citadel Securities, you will work closely with researchers to design and build the next generation library for deep learning within the firm. You will combine the best available open-source tools with deep internal expertise in modelling and predicting financial markets. Your work will empower 100+ researchers to iterate faster on their agenda and perform experiments that were not possible before.
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.
Objectives
Grow/maintain internal library for deep learning.
Work with researchers to understand their needs and add new functionality.
Work with HPC experts to optimize the largest existing workflows and deliver training speed improvements and cost savings.
Stay up to date with external innovations and tools and make them available for internal use as appropriate.
