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Job Details
Citi is looking for a Senior Data Scientist and Architect to join our team, and architect high performance Analytical Dashboard & Performance Metrics used by senior stakeholders across our Banking and International (B&I) franchise.
This role will work within one or more teams across B&I Data and the subject matter experts from Risk/Finance/ Technology to design, validate, develop, and deploy both minimum viable products (MVP) as well as ready to deploy solutions.
In Citi we believe the future is here. Right here with us. Home to where we define, ideate, develop, and distribute analytical dashboard solutions of far-reaching impact for our international business. And right now, the door is open to direct the future of our truly global organization. This means collaborating with the keenest minds in Finance / Risk / Technology / Data Science and more.
Doers looking to bring the next bold idea to life for a fascinating array of clients across investing, trading, consumer lending and cash management.
If you have this kind of vision, capable of seeing ahead, of developing a clear path forward in a quest to try the yet untried, here is the opportunity. In a supported, resource-rich, vibrant environment, part of an ecosystem of globally interconnected teams, realizing a broader mission of enabling growth and transformation through data on a scale you won’t find anywhere else.
Responsibilities:
- Mandatory experience in Design, build and enhance high-performance, data-intensive solution from all the way to data acquisition, rendering, visualization, and distribution.
- Mandatory experience in Building and enhancing existing data quality process to ensure accuracy, timeliness and completeness of various dashboard and reports.
- Lead a versatile teams of junior data scientist, analyst, and engineers.
- Determines appropriateness, and guides revisions/refinement of presentation content and materials for Governance forums.
- Coordinate work within team or project group - escalate where required in a timely basis.
- Liaises with multiple Data teams/departments and serve as subject matter for planning and analysis of project deliverables and processes.
- Prework on the governance agenda required and appropriately highlight the relevant dependencies and Risk. Work with the team to get the information up to date before senior management review.
Qualifications:
- 15 years of experience, Banking or Finance industry preferred.
- Great understanding business analysis, project management and solution design.
- Communicates effectively, develops, and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; able to drive consensus, and influence relationships at all levels.
- Must have broad understanding of the business technology landscape, the ability to design reports, and strong analytical skills.
- Mandatory excellent understanding of SQL, Python, Tableau.
- Mandatory Know how to read/write to database systems, such as SQL, NoSQL (Graph, KV, Columnar), Object Storage, with ability to work with various data formats.
- To be familiar with the ETL processes and Task/Job Schedulers and ability to troubleshoot technical issues on your own.
- Mandatory Knowledge in Java and its latest features, such as lambda expressions, functional interfaces, etc.
- Mandatory experience working with web development frameworks and related libraries, such as React, Angular, Vue.js, etc.
- Must have good foundation and implementing Data Science key concepts with opensource libraries.
- Adaptable, creative, resourceful, well organized team player with a strong work ethics.
Education:
Bachelor's/University degree, Master’s degree preferred.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Data Governance------------------------------------------------------
Job Family:
Data Integration------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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