top of page

Senior Consultant in Data, Risk and Financial Modeling

Job Offer 1: Ressources et conseils

Senior Consultant in Data, Risk and Financial Modeling

Business line

Data, Risk and Financial Modeling


Zurich / Geneva / Lausanne /

Experience level


Working time percentage

80% - 100%

Date published


Job description

Talmis ( is a consulting firm specialized on supporting clients with range of consulting and advisory services covering Capital Markets, Treasury, ALM, Risk and Finance.

Our areas of focus are:

  • Enterprise Risk Management (ERM)

  • Balance Sheet Management

  • Treasury & Investment

  • Regulatory Strategy and Planning

  • Regulatory Diagnostic Support

  • Data, Risk & Financial Modeling

Following partnership with key Banks and Financial institutions in Switzerland and Europe, we are aiming to provide the best-in-class quality services to our clients.

You can make an impact 

We are currently seeking Consultant / Senior Consultant to join our growing and successful team.

Are you an expert in building complex models? Are you interested in risk management and scenario-based stress testing? Do you enjoy working within a team of highly skilled experts to develop and deliver solutions? Then we are looking for you to:

  • create, develop and maintain models for stress testing purposes

  • bring new quantitative modeling ideas to our team to push ahead a key project within our bank

  • use techniques from quantitative risk management, financial mathematics and econometrics to develop, assess, and change models

  • present methodologies and results to senior stakeholders within our bank

  • implement models in R and produce clear documentation for regulators

Who we are looking for

We are looking for someone who is motivated, driven and eager to learn. The ideal candidate must be a passionate problem-solver with a very good understanding of Risk and Treasury products, who can work independently on specific work items. In particular, we are looking for:

  • a Master's or PhD degree in applied quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Computational Science, Quantitative Finance, …)

  • a very good understanding of financial markets and the banking business, financial accounting, as well as balance sheet dynamics

  • sound knowledge of statistical and econometric methods and their application

  • programming knowledge. Experience in writing code in a statistical or high-level programming language (e.g. R, Python, …) is essential

  • solid understanding and interest in (macro-) economic mechanisms and their influence on financial markets

  • strong analytical, conceptual and organizational skills with the ability to work to tight deadlines

  • fluent in English, additional languages are welcome

How to apply 

We look forward to hearing from you! Please click on “apply now” to submit a complete application, including CV, cover letter, references and degree certificates. 

If you have any questions, please contact

bottom of page