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IT Senior Business Analyst

Vacancy details

General information


About Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB)

Crédit Agricole CIB is the corporate and investment banking arm of Crédit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022).
8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East and North Africa, support the Bank's clients, meeting their financial needs throughout the world.
Crédit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking and international trade.
The Bank is a pioneer in the area of climate finance, and is currently a market leader in this segment with a complete offer for all its clients.

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Job description

Business type

Types of Jobs - Corporate & Investment Banking

Job title

IT Senior Business Analyst

Contract type

Permanent Contract

Job summary

Summary of Role

The role consists of specifying, analyzing and designing solutions related to the distribution of data within the various businesses of CaciB.The Senior Data business analyst will be in charge of managing developments on the functional scope related to data manipulation. Its main activities will consist of:

- Contribute with business stakeholders to the specification of APIs or other data distribution methods related to specific use cases (transaction reporting, market activity monitoring, data quality controls, data analysis for sales/traders, data feed for IA or machine learning platform, etc..)

- Implement good data modeling practices;

- Facilitate and coordinate data modeling work with business teams, in particular Business Data Architects,

- Design functional and technical data models (conceptual model, logic);

- Participate in the stages of Data Dictionarization and Data Lineage

- Contribute to the definition of processes and management rules for Data Quality;

- Analyze the impacts of data quality remediation plans and update, if necessary, the data models concerned.

- Participate in the design of data distribution solutions.

- Investigate existing data universes and propose solutions to distribute them

- Contribute to the implementation of a Data Mesh architecture;


List of deliverables/expected results:

- Functional specifications

- Data architecture, data mesh

- Data Dictionarization & Lineage

- Data quality management process

- Data modeling best practices and standards

The new solutions will augment the platform which delivers services which comply with Regulatory Pre-trade and Post-trade requirements, and in future will be extended to provide additional features including visualisation and digitalisation. 

The platform will ultimately be used for a wide range of Pre and Post trade business critical functionality beyond the immediate regulatory constraints.


Key Responsibilities

Key Developer Skillset :

- Agile project management method

- Anaytical and synthetical skills

- Communication in WW environment

- Data modeling

- Knowledge of XML, SQL, big data database

- Knowledge of Python (scripting) is a plus.


Legal and Regulatory Responsibilities

Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the London Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.

Maintain appropriate knowledge to ensure to be fully qualified to undertake the role. Complete all mandatory training as required to attain and maintain competence.

Position location

Geographical area

Europe, United Kingdom



Candidate criteria

Minimal education level

Bachelor Degree / BSc Degree or equivalent

Academic qualification / Speciality


Higher Education (Degree or equivalent) in computer science, maths, physics or engineering



Strong knowleged in SQL / Data Structures / Data Architectures


Ability to self-manage their projects. 

Able to manage issues and deliver to a schedule.

AGILE Practionner

Knowledge on main regulations (MIF, SFTR, DFA, EMIR)



Has worked in a front office environment.


Required skills


Excellent oral and written communication skills, displaying accuracy and attention to detail.

Leadership, enthusiasm and ability to engage and influence individuals.

Good interpersonal skills – ability to build good working relationships.

Ability to innovate and create good working solutions.

Must be able to engage key stakeholders, of various seniorities, across different roles/functions

Change Management and the ability to deliver change.

Technical skills required


Functional skills – by example

-        Capital Markets Practice

-        Trade processing

-        Front Office environment

-        Transaction reporting