Senior Consultant Quantitative & Financial Risk - Financial Services

Ernst & Young Advisory Services Sdn Bhd; Diegem; Sur place; EUR 50 000 - 70 000; Plein temps

Avantages offerts par ce poste

Flexible working arrangements

Extensive training opportunities

Supportive workplace culture

Résumé du poste

A leading global professional services firm in Belgium is seeking a Senior Consultant specializing in quantitative risk modeling. The role involves participating in and leading risk engagements with financial institutions, focusing on credit and market risk modeling, and using machine learning techniques for innovative solutions. Applicants should possess a Master's degree in a relevant quantitative field and have 2-5 years of relevant experience. Proficiency in programming languages like R and Python is essential.

Qualifications

• 2-5 years of relevant professional experience required.
• Solid understanding of complex instruments and market risk prerequisites.
• Proficient business English required; Dutch and/or French are advantageous.

Responsabilités

• Lead Risk engagements focusing on credit risk modeling.
• Support banks in regulatory reviews and mitigate model weaknesses.
• Coordinate workload across various projects efficiently.

Connaissances

Quantitative modeling techniques

Machine learning algorithms

Communication skills

Formation

Master’s degree in relevant quantitative field

Outils

R

Python

C++

Description du poste

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The Opportunity

We have an opportunity for agile, market-savvy professionals in quantitative & financial risk and modelling. The focus of our team is on credit risk modelling, banking credit risk regulation, market risk modelling and (derivative) valuation, and derivatives instruments. We look to strengthen our team with Senior Consultants with a solid knowledge in one or more of these fields.

The Belgian Risk practice acts as a center of excellence within the EMEIA region with respect to quantitative modelling. Among others, this means we have a robust and broad expertise in the practical aspects of credit modelling. Together with our equally eminent colleagues of the Data & Analytics team, we also work on Machine Learning applied to credit risk as well as climate risk modelling for financial institutions as part of our sustainable finance workgroup.
On top of this continuous learning from local and international experts, we have developed an internal credit risk modelling program and an internal derivative valuation program. Both programs consist of a mix of face-to-face trainings, web-based learning and on-the-job training.

In Market Risk, we work on topics such as:

• Capital Requirements Related (CRR)
• Regulatory topics: Fundamental Review of The Trading Book (FRTB), Interest Rate Risk in the Banking Book (IRRBB) and underling models like pre-payment models
• Stress-Testing: Analysis and definition of stress-scenarios related to Market Risk Factors taking into account their statistical properties

Vanilla / complex derivatives (Multi-Asset / Path-Dependent / Skew Sensitive), credit and funding valuation adjustments, illiquid bond pricing. Also, prudent valuation is an important topic that is covered by the team.

The team also supports IFRS13 projects when it comes to the definition of Fair Value Levelling / Assessment of Observability of Input Parameters.

Aside from these purely technical areas, the team covers the review of Model Governance Frameworks as well, how institutions identify, monitor, measure and mitigate Model Risk, in particular for Pricing Models and Market Risk Capital Models.

Key Responsibilities

We are looking for a skilled quantitative professional, who may combine working on Belgian and European financial institutions. The ability to drive work forward to a conclusion, to find pragmatic solutions to complex problems and to explain and document them convincingly, are key factors in order to be successful in this role. Typical projects you will be involved in:

• Participate in, and lead Risk engagements, with the focus credit risk modeling, including the link with accounting (e.g. IFRS 9)
• You participate in engagements in the Risk practice, in the quantitative space, both from an advisory and an assurance perspective
• Support banks in preparing for regulatory reviews, or help them mitigate model weaknesses
• Assist banks in any stage of the model life cycle (developing new models, backtesting, independent validation of credit models, …)
• In the context of market risk and (derivative) valuation models typical tasks are:
• Develop and apply EY tools & models
• Participate to model development and model validation exercises
• Identify new areas for further development of EY tools & models, including the innovative application of machine learning in this application domain
• Assess the impact of climate risk and ESG considerations in general on market risk and (derivative) valuation model
• Explore and exploit the potential of alternative data and machine learning techniques to help financial institutions bring their credit modelling to the next level
• Investigate the impact of climate risk and ESG aspects in general on credit risk
• Contribute to the standardization and automation of the model development and model validation process
• Understand our full range of service offerings and actively identify and develop new opportunities to address emerging client needs
• You coordinate the workload in various projects, and develop productive working relationships with internal and external clients
• You prepare concise, complete and convincing reports on the work done, and present it to more senior colleagues and clients
• You act as a team member, coaching and supervising junior staff, seeking guidance from senior colleagues as needed, and keeping everybody informed on the progress of the assignment.

Skills and Attributes for Success

• Master’s degree in Physics, Mathematics, Statistics, Computer Science, Engineering or a relevant quantitative field
• Between 2-5 years of relevant professional experience
• Solid understanding of quantitative modeling techniques and practical experience with valuation of complex instruments (e.g. derivative, illiquid bonds) and/or market risk (e.g. FRTB, IRRBB, VAR models) is mandatory
• Deep understanding of quantitative modeling techniques, with practical experience in credit risk (IRB, IFRS9) and practical experience with derivative pricing in one or more asset classes (FX, rates, equity, …)
• Experience with building (risk) reports and experience with communication around (mathematical) complex issues at management level is a major plus
• Knowledge of some key vendor packages, and some frequently used programming languages (R, Matlab, C++, Python, SAS) in the risk and/or valuation domain is mandatory
• Strong interest in or some initial experience with machine learning algorithms
• Proficient level of business English and good communication skills; knowledge of Dutch and/or French is a major asset
• Team spirit, but self-sufficient and autonomous
• Pragmatic approach, with the ability to self-motivate and inspire the members of a team
• Eagerness to learn more about the Financial Services market in Belgium and Europe.

What working at EY Offers

• You will be part of a leading global professional services firm.
• You will be part of the EY family where everyone is willing to offer support and senior management is very accessible.
• You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.
• You will get extensive trainings on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
• We are proud of our flexible working arrangements, and we will support you to build a successful career and deliver excellent client service, without sacrificing your personal priorities.
• While our client-facing profession might require part-time working at client site and business traveling at times, we are committed to helping you achieve a lifestyle balance.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

EY is an equal opportunities employer and welcomes applications from all qualified candidates.