Machine Learning Specialist - Financial Services

Key Skills

AWS, Azure, Deep Learning, Dutch language, English Proficiency, Finance, French language, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, NoSQL, Python Programming, R Programming, Scala Programming

Job Description

EY is the only major professional services firm with a dedicated financial services practice (EY FSO) integrated in the EMEIA region. An international team of over 16.000 professionals is working across borders for our clients in the financial sector: Banking, Insurance, Payment Institutions and Wealth & Asset Management, in all service lines: Consulting, Tax, Transactions and Assurance. As we consider our people as the heart of EY, we hire and develop the most passionate people in their field to build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that, whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

The Opportunity

EY Belgium Data Science & AI team designs and implements AI-solutions for various business sectors with a focus on Financial Services (Banking, Insurance and Capital Markets). We are currently looking for capable and motivated professionals to join our team as Machine Learning Specialists.

Key Responsibilities

As a Machine Learning specialist, you will :

• Play a key role in the end-to-end delivery of AI solutions for our clients, from ideation, feasibility assessment, to data preparation, modelling and industrialization.
• With a strong focus on MLOps you will deliver robust and production-ready solutions.
• You will keep-up with the state-of-the-art machine learning algorithms, tools and systems, undertake proof-of-concepts, and design innovative solutions.
• You will also support transformation processes towards a data centric culture and work closely together with colleagues from other business departments, in domains such as risk management, business optimization and customer intelligence.
• You will also build and share knowledge with your colleagues and coaching junior profiles.

Skills and Attributes for Success

You have a strong background in Machine Learning

• You hold a PhD/master’s degree in a quantitative field
• You have at least 3 years of experience in Machine Learning / Deep Learning
• You have excellent coding skills whether it’s in Java, Python, R, Scala,…
• You love picking your brain on large datasets, and tackle each new problem with a can-do & pragmatic mindset
• You have strong communication and presentation skills and love to take full ownership of your projects and help clients in overcoming their challenges.
• You are fluent in Dutch and/or French, proficient business English

Can we dream for more?

• You have a strong business understanding of the financial sector (Banking, Insurance or Capital markets)
• You are proud to share relevant experience in coaching and leading a team of Data Scientists
• You have already found your way through cloud computing services, such as Azure, AWS or GCP
• You have a good overview of the (big—)data ecosystems and frameworks (Hadoop or other)
• You have experience with lean/agile software development
• You can show off with publication record at top machine learning conferences (ICML, NIPS, KDD, …)
• You are familiar with NoSQL tools for exploiting unstructured information
• You are not afraid to support of business development and pre-sales activities 

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.