AL

ALMASI Capital & Advisory recruits a Statistical Engineer

ALMASI Capital & Advisory
📍 Cameroun 🇨🇲CDI🗓️ 10 days ago

Job Description

Cameroun
CDI

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Automatically translated from French. View the original offer

ALMASI Capital & Advisory is recruiting a Statistical Engineer for its Advisory Management. The firm is looking for an analyst Advisory who will perform the functions of Statistician Engineer and will evolve under the direct supervision of the Director of the Advisory.

Main duties

The position consists of generating advanced quantitative analyses and developing economic models and studies to support advisory missions and financial structuring operations.

Education and qualifications

The candidate must have a BAC level diploma+5 or a title of engineer in statistics, applied mathematics, econometrics or data science, including a strong economic and financial dimension.

Experience and skills

Initial experience of 0 to 2 years in research, advice or quantitative analysis is required. Major projects and significant internships will be fully valued.

Essential skills include advanced practice in statistics, econometrics and financial and economic data processing, as well as the ability to build, refine, verify and operate databases. The candidate must know how to create models, simulation scenarios and stress tests, while knowing how to identify the limits. An excellent command of Excel and the common use of at least one analytical tool such as Python, R or Stata are expected, as well as a good understanding of how capital markets work, financial analysis and solvency and risk issues. Rigor in documenting methods, assumptions and data is necessary to ensure the reproducibility of analyses, as well as ease in writing research notes, sector studies and analytical appendices.

In terms of the expected qualities, the candidate will have to show a great critical sense, an exemplary scientific rigor and a good spirit of analysis and synthesis. They must be able to popularize and explain their results to a non-specialist audience, scrupulously respect the deadlines imposed and work with great autonomy while exercising discretion in the context of the missions entrusted.

As an additional asset, having carried out work related to financial modelling, risk analysis or financial rating is appreciated.

Job overview

Good knowledge of the economic context of the CEMAC area and a good level in technical English are required.

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