Data Scientist - London, United Kingdom - eFinancialCareers

eFinancialCareers

Verified Company

London, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

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 throughoutthe 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 crossfunctional 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 indepth 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.
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 scikitlearn, opencv, tensorflow
Very Good knowledge of RDBMSone 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

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Job Family:

Data Science

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Time Type:

Full time

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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