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Senior Data Modeler

189867 Requisition #


The Senior Data Modeler will be in charge of performing data analysis and developing analytical/ data science solutions, managing projects (management of the analysts and of the client relationship) and contributing to analytics pre sales.

Key Responsibilities

Support and lead analysts in developing robust analytical solutions for diverse clients – this includes the development of statistical models and ad hoc data analysis.

Participate to projects providing, business and analytical expertise and methodology, for clients and internal teams

Understand client objectives and requirements, and specify analytical work required

Contribute to the analysis and the models development

Question results through applied intelligence and interpret into conclusions and recommendations for clients.


Ensure that project deliverables are accurate and meet project objectives.

Manage projects and client relationship:

Plan, organize and complete project work in order to meet team commitments within agreed timescales.

Prepare and drive clients meetings

Participate to business development, supporting some pre-sales activities

Work in collaboration with French and international teams

Attending and driving client meetings will require some travelling to client’s site. Travelling abroad may also be required.



The successful candidate will have:

Degree in numerate subjects (statistics, economics, engineering).

Good knowledge of statistical methodologies, strong analysis and problem solving skills.

Knowledge and experience of banking business and risk management practices (for ex. Basel/IFRS9)

Established track record of delivering complex analytical projects for financial institutions (scoring and forecasting models).

Fluent in French and English – both written and spoken.

PC literate with experience in the use of statistical (e.g., SAS, R, Python, ) and IT packages

Excellent communication skills, including proficiency in writing reports and presenting analysis results.

An innovative and inquisitive mind, focused on addressing and solving data and analysis problems.

Strong interpersonal, coaching, mentoring and motivational skills.

Strong collaboration and teamwork.

The following abilities and skills will be considered an advantage:

Previous experience in Banks, Financial companies or Consulting companies

Previous experience in team or project management

Knowledge and practice of Data Sciences techniques and tools

High adaptability

Other language skills.


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