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Data Analyst


Vacancy details

General information

Entity

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

Crédit Agricole CIB is the corporate and investment banking arm of Credit Agricole Group, the 12th largest banking group worldwide in terms of tier 1 capital (The Banker, July 2021). Nearly 8,600 employees across Europe, the Americas, Asia-Pacific, the Middle East and 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 markets 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.


For more information, please visit www.ca-cib.com

Twitter: https://twitter.com/ca_cib
LinkedIn: https://www.linkedin.com/company/credit-agricole-cib/
  

Reference

2022-68433  

Update date

03/05/2022

Job description

Business type

Types of Jobs - General Inspection / Audit

Job title

Data Analyst

Contract type

Permanent Contract

Job summary

Key Responsibilities

I – Audit/Loan review assignments and Continuous Monitoring

·Identify and acquire the necessary data from relevant source systems used by Internal Auditors and Loan Review Analysts to develop data analytics needed to support IGE team

·Contribute to audits’ planning, analyzing data and identifying areas to automate the testing

·Present automation proposals to IGE’s management on existing processes and/or testing

·Collaborate with audit teams to design and execute testing

·Perform testing creating codes that can be used in different audits

·Design and build data analytics scripts to meet specific audit objectives and determine if these can be reused on a continuous basis to strengthen the assessment of internal controls

·Publish analytics results to the Internal Audit teams, and provide support / training as necessary to interpret and refine the results of the analytics provided

·Expand the library of Python automation scripts currently used by the department during continuous monitoring mission

II – IGE Continuous Improvement Program / Transversal topics

The Data Analyst contributes to the continuous improvement of IGE methodologies and processes. As part of his/her responsibilities, he/she can be requested to:

·Build and share knowledge (e.g. through contributing to SynerGIA, preparing and presenting   Knowledge Express, taking active part in various Methods and Support projects)

·Perform continuous monitoring of the different portfolios and business lines by analyzing data and trends using data analytics

·Prepare different committee presentations, summarizing the findings from the continuous monitoring performed

·Actively participate in global initiatives aimed at improving Internal Audit’s processes and procedures

·Create codes that will allow IGE to conduct continuous monitoring on a global basis

·Actively participate in one or several knowledge communities within IGE

The Data Analyst is regularly trained on banking and regulatory matters and must always maintain a sufficient knowledge of the different data tools that he/she has access to (Python, PowerBI, Dataiku, etc). He/she must complete all the mandatory trainings within the defined timelines.

Management and Reporting 

Direct reporting line to Head of IGE Americas

Key Internal contacts

IGE Americas team

IGE HO Data Analyst

Auditees, other control functions

Role specific requirements

Data Analyst must comply with the CACIB Audit Charter, in particular the five fundamental ethical principles (integrity, objectivity, confidentiality, expertise, and transparency) and all other locally applicable regulations.

Position location

Geographical area

America, United States Of America

City

NEW YORK

Candidate criteria

Minimal education level

Bachelor Degree / BSc Degree or equivalent

Academic qualification / Speciality

Bachelor’s or Mater’s degree in engineering or statistics

Level of minimal experience

3-5 years

Experience

At least 2 years of experience in data analytics (internal / external)

Required skills

Essential

·         Ability to communicate clearly and easily, including in writing

·         Ability to analyze and summarize

·         Ability to learn new coding / use of new tools

·         Rigor and sense of organization

·         Attention to details, accuracy

·         Analytical skills

·         Autonomy

·         Ability to work with global teams

·         Team player

·  Proficiency with data analytics tools (Excel, PowerBI)

·  Python / Coding skills

·  Basic knowledge and understanding of the risks generated by banking / securities activities

 

Desirable

·  Relationship management

·  Capacity to cooperate

·  Ability to work across disciplines

·  Basic French

·  Dataiku, SQL Server, SAS, Access

·  DataViz (Power BI, MicroStrategy…)

·  coding (Python, R, Cypher…)

·  Big Data