Pay
Lower than most similar jobs
$100K–$120K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Analyst - Jefferies Equities Data & Intelligence (JEDI)
New York, NY, United States
Live, first seen by us 21 days ago- Pay
$100,000–120,000/yearAnnual period assumed — pay source
A self-starter who takes ownership of deliverables while contributing constructively to a collaborative team environment. New York, NY Full Time Salary Range of $100,000-120,000. #LI-DNI
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild and maintain scalable trading infrastructure observability platforms
Design data pipelines to ingest and clean large real-time market and alternative datasets
Develop automated quantitative strategies with traders
Improve flow monitoring and analytical tooling
Apply AI to workflow automation and content generation
From the employer’s posting
Design, develop, and maintain scalable trading infrastructure observability platforms
Design and implement robust data pipelines to automate the ingestion, cleansing, and storage of large-scale, real-time datasets
Identify, develop, and implement automated quantitative strategies in collaboration with traders
Contribute to the continuous improvement of flow monitoring and analytical tooling
Incorporate AI in workflow automation and content generation for internal use and client-facing commentaries
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
- Proficiency in Python and/or C++; experience with data manipulation libraries (pandas, NumPy).
- Hands-on experience with relational databases such as PostgreSQL, MSSQL, or Oracle.
- Proficiency in Linux/Unix environments and command-line tooling.
- Familiarity with core cybersecurity concepts (TLS/SSL, hashing, encryption, authentication)
- Solid understanding of financial markets, instruments, and trading concepts.
Preferred experience
- Familiarity with financial data platforms such as Bloomberg or Refinitiv is a plus.
Qualification wording
Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
Proficiency in Python and/or C++; experience with data manipulation libraries (pandas, NumPy).
Hands-on experience with relational databases such as PostgreSQL, MSSQL, or Oracle.
Proficiency in Linux/Unix environments and command-line tooling.
Familiarity with core cybersecurity concepts (TLS/SSL, hashing, encryption, authentication)
Solid understanding of financial markets, instruments, and trading concepts.
Familiarity with financial data platforms such as Bloomberg or Refinitiv is a plus.
Education & alternatives
Qualifications - Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field. - Proficiency in Python and/or C++; experience with data manipulation libraries (pandas, NumPy).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 13, 202621 days ago
- Recorded sightings
- 28
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 21
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Jefferies is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Python
- Oracle
- PostgreSQL
- NumPy
- pandas
Where the posting names them
- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field. - Proficiency in Python and/or C++; experience with data manipulation libraries (pandas, NumPy). - Hands-on experience with relational databases such as PostgreSQL, MSSQL, or Oracle.
- Proficiency in Python and/or C++; experience with data manipulation libraries (pandas, NumPy). - Hands-on experience with relational databases such as PostgreSQL, MSSQL, or Oracle. - Proficiency in Linux/Unix environments and command-line tooling.
Your next step
Complete your application on hdid.fa.us2.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Jefferies Equities Data & Intelligence (JEDI) – Analyst
Location: New York, NY
Firm: Jefferies Group LLC
Jefferies Group LLC, the largest independent, global, full‑service investment banking firm headquartered in the U.S., has been focused on serving clients for 60 years. We are a leader in providing insight, expertise, and execution to investors, companies, and governments. The firm offers deep sector expertise across investment banking, equities, fixed income, and asset and wealth management throughout the Americas, Europe, the Middle East, and Asia. Jefferies Group LLC is a wholly owned subsidiary of Jefferies Financial Group Inc. (NYSE: JEF), a diversified financial services company.
Position Overview
We are seeking an Analyst to join our Jefferies Equities Data & Intelligence (JEDI) team. The successful candidate will play a key role in building and maintaining the quantitative and data infrastructure that powers our trading operations, partnering closely with traders, sector strategists, and technology teams to deliver scalable, high-performance solutions. This role is ideal for an energetic, and analytically minded individual looking to apply quantitative skills in a live trading environment, and who thrives in a fast-paced environment.
Key Responsibilities
- Design, develop, and maintain scalable trading infrastructure observability platforms to support real-time monitoring and operational reliability
- Design and implement robust data pipelines to automate the ingestion, cleansing, and storage of large-scale, real-time datasets — including market data and alternative data sources.
- Identify, develop, and implement automated quantitative strategies in collaboration with traders
- Contribute to the continuous improvement of flow monitoring and analytical tooling
- Incorporate AI in workflow automation and content generation for internal use and client-facing commentaries
- Uphold the highest professional standards and represent Jefferies’ culture of integrity, teamwork, and client‑focused execution.
Qualifications
- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
- Proficiency in Python and/or C++; experience with data manipulation libraries (pandas, NumPy).
- Hands-on experience with relational databases such as PostgreSQL, MSSQL, or Oracle.
- Proficiency in Linux/Unix environments and command-line tooling.
- Familiarity with core cybersecurity concepts (TLS/SSL, hashing, encryption, authentication)
- Solid understanding of financial markets, instruments, and trading concepts.
- Familiarity with financial data platforms such as Bloomberg or Refinitiv is a plus.
- Ability to work effectively under pressure in a fast-paced, high-volume trading environment with tight deadlines.
- Strong analytical and problem-solving skills with exceptional attention to detail.
- Excellent communication skills with the ability to present technical concepts clearly to both technical and non-technical stakeholders.
- Highly organized and capable of managing multiple projects and priorities simultaneously.
- A self-starter who takes ownership of deliverables while contributing constructively to a collaborative team environment.
New York, NY Full Time Salary Range of $100,000-120,000.
#LI-DNI
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
A self-starter who takes ownership of deliverables while contributing constructively to a collaborative team environment. New York, NY Full Time Salary Range of $100,000-120,000. #LI-DNI
- Location & working pattern
New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.