Data Analyst, Corporate Technology

Jefferies, the global investment banking firm focused on serving clients for over 60 years, is a leader in providing insight, expertise and execution to investors, companies and governments. The firm provides a full range of investment banking, sales, trading, research and strategy across the spectrum of equities, fixed income, foreign exchange, futures and commodities, and also select asset and wealth management strategies, in the Americas, Europe and Asia. Jefferies Group LLC is a wholly owned subsidiary of Leucadia National Corporation (NYSE: LUK), a diversified holding company.

We are seeking a Data Analyst with a strong foundation in Data Science to help drive data-driven decision-making. The ideal candidate will have expertise in data analysis, statistical modeling, machine learning, and data visualization to extract actionable insights from complex datasets.

 

Key Responsibilities:

• Collect, clean, and preprocess data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Develop and implement predictive models and machine learning algorithms.
• Create data visualizations and dashboards to communicate insights effectively.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Ensure data integrity, security, and compliance with relevant regulations.
• Stay updated with the latest data science techniques and industry trends.

 

Required Skills & Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in Python, R, SQL
• Strong understanding of machine learning algorithms, statistical analysis, and data mining techniques.
• Excellent problem-solving skills and ability to translate business needs into data-driven solutions.
• Prior experience in Capital Markets is highly preferred.

 

Preferred Qualifications:

• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Knowledge of Natural Language Processing (NLP) and Time Series Analysis.
• Familiarity with ETL processes and data pipeline automation.
   

The salary range for this position is $100,000-$150,000

Jefferies Financial Group Inc. (‘‘Jefferies,’’ ‘‘we,’’ ‘‘us’’ or ‘‘our’’) is a U.S.-headquartered global full service, integrated investment banking and securities firm. Our largest subsidiary, Jefferies LLC, a U.S. broker-dealer, was founded in the U.S. in 1962 and our first international operating subsidiary, Jefferies International Limited, a U.K. broker-dealer, was established in the U.K. in 1986. Our strategy focuses on continuing to build out our investment banking effort, enhancing our capital markets businesses and further developing our Leucadia Asset Management alternative asset management platform. We offer deep sector expertise across a full range of products and services in investment banking, equities, fixed income, asset and wealth management in the Americas, Europe and the Middle East and Asia.  

 

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

 

Jefferies is committed to creating and sustaining a diverse workforce and encourages applicants from all backgrounds to apply. This includes applicants from historically underrepresented groups, including women, racial and ethnic minorities, members of the LGBTQ+ community, military veterans, and individuals with disabilities or who are neurodiverse. 

 

Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductiv