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General Information

Company
Deloitte
Business Unit
Strategy, Risk & Transactions Advisory
Primary Location
Zaventem
Field of interest
Finance & Risk
Industry Focus
Industry Agnostic
Recruiter
Labbe, Sidonie - slabbe@deloitte.com

Description of the position

Your journey with us

Deloitte Belgium’s Financial Risk department helps organizations identify the risks impacting their business and implement effective and efficient processes to measure and manage these risks (mainly market, credit and liquidity risk). To this end, the team leverages its expertise in data analytics, machine learning techniques and process optimization, combined with a strong understanding of the regulatory and business context.

As a Quantitative Modeler, you will be developing, validating and implementing advanced mathematical and statistical models to address complex financial and business challenges. The ideal candidate will have a strong academic background, experience in quantitative methods, and a deep understanding of financial instruments and markets.

What will you be doing?
You will join a team of experienced risk modelers where collaboration and communication are at the heart of our way of working. You are curious and analytical, with a natural drive to excel. Amongst other, your activities will include:
  • Model Development: Design and develop quantitative models for risk management, utilizing techniques such as Monte Carlo simulation and machine learning.
  • Model Validation: Conduct rigorous back-testing and validation of models, ensuring their robustness and alignment with regulation and market conditions.
  • Data Analysis & Interpretation: Analyze large datasets to identify trends, relationships, and patterns. Work with financial and market data to derive insights for model improvement and validation.
  • Process Optimization: Analyze process workflow and advise on improvements to facilitate experience in model application, maintenance, and internal and regulatory reporting.
  • Research & Innovation: Stay up-to-date with the latest research in quantitative finance, machine learning, and statistical techniques. Apply new methodologies and tools to improve existing models and develop new strategies.

Let's talk about you
  • You have a Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Business or Financial Engineering / Economics or Computer Science.
  • You have between 2 and 5 years of experience in quantitative modeling and/or validation, preferably in financial services, with hands-on experience with programming languages such as Python, R, Matlab or SAS/SQL. 
  • You demonstrate understanding of business processes, regulatory requirements, internal control risk management, process, data and technology controls and related standards and frameworks.
  • You are fluent in English and Dutch or French. 

Soft skills:
  • Quantitative and qualitative problem-solving skills, with high capacity for solving challenging business problems
  • Present complex quantitative concepts and findings in a clear and accessible manner to stakeholders at various levels of technical expertise.
  • Strong analytical thinking and a drive for continuous learning and improvement, tech-savvy
  • Ability to work in a collaborative, team-based environment

How will you grow?
  • You will further develop your expertise across a broad range of quantitative applications in risk.
  • As you grow, you will be given more responsibility to manage assignments working directly with senior members of our client teams and guide junior colleagues.
  • As you become proficient in various skill sets, you will coach your colleagues and continue to enhance your management competencies.


Our story
Our Risk, Regulatory & Forensic practice is a global leader in helping clients manage risk and uncertainty from the boardroom to the network. We provide a broad array of services that allow our clients around the world to better measure, manage and control risk to enhance the reliability of systems and processes throughout their organization.
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