Data Scientist / Data Analyst

Citi
The Data Science Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. The primary purpose of this role is to Perform data analytics and data analysis across different asset classes, and to build data science capabilities within the team. This will involve working closely with the wider EMEA CDO team, in particular the front to back leads in order to deliver business priorities.

The following role is within EMEA CDO Data Analytics team within the EMEA Chief Data Office (CDO). The team manages the UK data quality programme in addition to a broad remit to implement and embed improved data governance and data management practices throughout the EMEA region. The UK data quality programme is centred on enhancing Citi’s approach to data risk and addressing regulatory commitments in this area.

Responsibilities:

• Build, maintain and perform Data Analytics on various asset classes – Commodities, Equities, Rates, Loans etc.
• Build or advise operational model and analysis bespoke to each use case
• Build data science capabilities using Python/Analytical tools
• Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets
• Build analytics dashboards using PowerBI/Tableau
• Produce high quality supporting business data analysis for asset classes, financial products, systems, reports in fast paced environment
• Communicate complicated findings and propose solutions to a variety of stakeholders
• Understanding business and functional requirements provided by business analysts and convert into technical design documents.
• Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. Prepare handover documents and manage SIT, UAT and Implementation.
• Identify and proactively perform data analysis to identify and resolve issues that could impact UK/EMEA
• Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives; requires a good understanding of the banking industry.
• Design, Implement, Integrate and test new features.
• Explore existing application systems, determines areas of complexity, potential risks to successful implementation.
• Contributes to continual improvement by suggesting improvements to software architecture, software development process and new technologies etc.

Knowledge/Experience:

• Some experience in Financial Services or Finance IT is a required.
• Strong knowledge of Python 3.x and rich experience in Pandas, PySpark, Numpy, OS, Sys, RE , XML, JSON, Pyarrow, AWSLibrary
• Strong knowledge of ETL methodology and knowledge in one or more of Knime, Alteryx, Informatica, Abinitio, AWS Glue
• Strong Knowledge in one or more of the BI visualisation tools such as Tableau, PowerBI
• Knowledge and understanding of m achine learning libraires scikit-learn, opencv, tensorflow
• Very Good knowledge of RDBMS-one or more of the following Oracle, MySQL.
• Ability to write complex SQL needed to investigate data issues and analyse legacy data.
• Good knowledge in UNIX Shell / Perl / Windows scripting.
• Proven experience in working for complex data warehouse.
• Knowledge of automation tools like Power Automate, Selenium etc.

Qualifications:

• Professional experience in data analysis, process improvement and project management
• Ability to effectively use complex analytical, interpretive and problem solving techniques.
• Demonstrated interpersonal, verbal and written communication skills.
• Methodical attention to detail
• Experience using tools for statistical modeling of large data sets

Education:

• Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

This role is graded C12 AVP in Citi’s Corporate Structure

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Job Family Group:
Technology –
Job Family:
Data Science
Time Type:
Full time
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