Senior Data Analyst

3 weeks ago

London, UK, United Kingdom Jefferies Full time

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.


Job Description


We are looking for an experienced senior data analyst who will report to the Global Head of Algos / Electronic Trading Risk. This individual will be proficient in working with complex data sets with a keen eye to spot trends and issues and have direct experience working in the algorithmic trading/ risk domain. This role requires a unique blend of technical expertise, algos trading/ risk management domain expertise, and strong project management / communication skills to drive the discussions and implementation with cross functional partners.


Key Responsibilities & Tasks

  • Write SQL queries to extract, transform, analyze data from various databases in different languages.
  • Conduct in-depth analysis of existing reporting and data sources to identify, discuss, and deeply understand and surface issues, trends, and underlying root causes.
  • Drive the work across the Business, Technology, Quantitative Strategies, Supervisory, and other control groups to implement data corrections, process improvements, and automated solutions to ensure ongoing integrity of the data and associated reporting going forward.
  • Conduct data discovery sessions with diverse technical groups to analyze the structure, quality, and content of existing data sources for their reliability, completeness, and usability.
  • Design and implement robust data schemas that align with our data needs and enables efficient reconciliation, storage, retrieval, reporting, calibrations, and analysis.
  • Partner with Risk Ops, Quantitative Strategies, Technology, Trading, Business, Engineering teams to scope, define, phase, and implement a comprehensive, scalable data solution that can be easily extensible to other asset classes, products, and regions.
  • Design and implement a tactical build to prototype the future state and provide an interim solution: 1) Preferably utilizing Python or SQLite to create a scalable and efficient minimum viable product. 2) Develop data structures that can be easily adaptable for future enhancements. 3) Create a flexible database schema that can accommodate various data types and reconciliation rules.
  • Develop and maintain data quality control processes for reconciliation, issue identification, and issue management to ensure ongoing integrity of the data and reports consumed and generated.
  • Develop and productionize robust MI reporting to facilitate deeper insights and more efficient algo trading risk management decision making process.


Qualifications/ Experience

  • Minimum of graduate degree in STEM
  • At least 2 years work experience within Algo/ eTrading area
  • Good grasp of traded financial products, markets, market structures
  • Strong analytical skills with attention to detail and ability to spot subtle discrepancies as well as identify trends in complex datasets
  • Excellent problem-solving skills
  • Strong interpersonal and communication skills with ability to work effectively with both technical and non-technical stakeholders
  • Proficient in Excel, SQL, Python
  • Ability to manage multiple projects and priorities at the same time and work effectively under pressure
  • Strong team player
  • Desire to learn, process improve, and add value


Preferred location: NY but will consider strong candidates in other regions


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 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, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law.


All employees must follow Jefferies’ COVID-19 protocol policy, which is subject to change.

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