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The financial services industry is currently undergoing a period of unparalleled change. The
banks and financial institutions have been subjected to stringent regulations, increased
supervision, and overall global economic instability. These changes have not come without
a cost and have made these institutions re-evaluate the way they have been doing business
traditionally. Moreover, the proliferation of technological advances including disruptive
technologies and digital are compounding the pressures of maintaining competitiveness,
being adaptable and increasing profit margins. EY continues to invest in growing its EMEIA
Digital and Emerging Technology (DET) practice focused on delivering key Digital
transformation programs, building valuable relationships with financial services
clients, and developing strong capabilities through both formal training and working
with senior mentors and talented colleagues from across EY. The DET practice is akin to
a start-up with EY, and we are seeking high calibre and experienced Data Scientists to join
this growing team.
The opportunity
At EY, you’ll have the chance to build a career as unique as you are, with the global scale,
support, inclusive culture and technology to become the best version of you. And we’re
counting on your unique voice and perspective to help EY become even better, too. Join us
and build an exceptional experience for yourself, and a better working world for all. As you
read through the qualifications below and don't quite check all the boxes, please apply
anyway. If your peers recognize you as top technical talent and the formal or informal leader
of your group, please apply anyway. The Data Science Team within RiskOps team is highly
engaged with our clients making use of their critical thinking skills with a businessfocused mentality and customer-facing attitude. They activate, maintain, and support
clients, develop models and rules, and train & enable them. In addition, they work crossfunctionally with other departments (e.g., Research, Product, Marketing) in a collaborative
team spirit spanning the globe to ensure we deliver best in class risk prevention solutions.
Your key responsibilities
• Develop a thorough understanding of the data science lifecycle, including data
exploration, preprocessing, modelling, validation, and deployment.
• Design, build, and maintain tree-based predictive models, such as decision trees,
random forests, and gradient-boosted trees, with a low-level understanding of their
algorithms and functioning.
• Hyperparameter tuning for existing machine learning models to optimize
performance.
• Collaborate with cross-functional teams to understand business needs and provide
data-driven solutions and insights.
• Conduct A/B testing and other model validation techniques to ensure the accuracy
and reliability of data models.
• Communicate complex data insights to non-technical stakeholders through clear
and actionable reports.
• Apply domain knowledge (if applicable) in financial fraud to enhance predictive
modelling and anomaly detection capabilities.
Skills and attributes for success
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate
significant amounts of information with attention to detail and accuracy.
• In-depth knowledge of machine learning algorithms, particularly tree-based models,
and their application to structured data
• Familiarity with SQL and experience working with relational databases.
• Python/R programming experience (pandas, scikit-learn, matplotlib, etc)
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication skills to effectively collaborate with team members and
present findings to stakeholders.
• A good understanding of the financial fraud domain is preferred, with the ability to
apply this knowledge to data analysis and fraud detection.
• Critical thinking & translate technical problems into business usable and
understandable language
• Working knowledge and experience of Feedzai tool (Preferred but not required)
• Big Data Experience (Spark
hackajob is partnering with Shape your future with confidence to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.