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Modeler - data scientist

Zaventem
Deloitte
Data Scientist
Publiée le 5 février
Description de l'offre

Can't wait to make an impact on the world? You're not alone. Join us in driving progress in the working world and beyond.

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.

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 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.

Who is Deloitte?
We provide industry-leading audit and assurance, tax and legal, consulting and related services. We are committed to driving innovation across offerings to help our clients address their challenges, while giving our professionals opportunities to learn and grow in this era of transformation.
In Belgium, +5000 dedicated professionals active in +10 offices, take great pride in bringing multidisciplinary expertise to a wide variety of clients, from national and international companies, small, fast-growing and large organizations to public institutions and governmental authorities.

Why Deloitte?
Be the true you We foster diversity and inclusion and encourage you to bring your authentic self to work. Explore, question and collaborate while building a career that inspires and energises you.
Never stop growing Diversity of thought makes us stronger. At Deloitte, we tailor a personalized learning experience, offering you the opportunity to grow at your own pace and achieve maximum impact.
We practice what we preach As a Purpose-led organisation, at the heart of everything we do is a set of timeless principles and unifying values.
Life looks different for each of us, so we created a varied benefits package that you can tap into:
My Benefits My Choice, a flexible rewards plan tailored to your lifestyle and priorities
Sustainable transport options offered by
Flexible work arrangements for all and initiatives supported by Parents & Caregivers @Deloitte
Wellbeing tips and activities powered by
Topped off with other health benefits and insurance opportunities

Empowering our employees with flexible work arrangements remains essential in today's reality:
Hybrid workplace: combination of home office and on-site (+10 offices in Belgium or client's premises).
Part-time employment: all our jobs are open to full-time or part-time work under a 90% or 80% regime.

Join us to make an impact together Apply now

Seniority level
Entry level
Employment type
Full-time
Job function
Analyst and Consulting
Industries
Business Consulting and Services and Financial Services

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Accueil > Emploi > Emploi Informatique > Emploi Data Scientist > Emploi Data Scientist à Zaventem > Modeler - Data Scientist

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