Senior Data Scientist

Citi
The 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.

The Data Science Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. Provides advice and counsel related to the technology or operations of the business. The 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

Responsibilities:

• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
• 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.
• Performs other duties and functions as assigned.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Knowledge/Experience:

• Professional of experience working in Financial services or Finance IT industry is a must.
• 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 machine 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:

• MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
• 6-10 years experience using tools for statistical modeling of large data sets
• Process Improvement or Project Management experience

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

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 Vice President C13 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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