Senior Data Scientist - Financial Crimes

We live in a new digital world with exciting new technologies and challenges. Businesses are re-evaluating the way they conduct business and undertaking strategic initiatives to enhance their operations to better serve their clients.

At EY, the "Technology Consulting Team, FinCrime" strives to implement innovative approaches to maximize harvests of strategic information, solving many of our clients' biggest challenges. We are working to integrate this capability into our full range of Consulting service offerings and help clients leverage data as an asset across all their business processes.

The opportunity

Our Canada Financial Crime group is currently seeking a Senior Consultant in Data Science. In the context of anti-money laundering and terrorist financing activities, the group works closely with clients to enhance their ability to use and interpret data. This provides better support for decision making, and better positioning to meet regulatory obligations. Our attentiveness and closer focus on details give clients an accurate overview and a better understanding of their risks.

The Financial Crime group provides innovative approaches that enable effective, documented, and sustainable implementation of projects of high importance to our clients. We are working to integrate this expertise into our Consulting services, as well as all our internal projects, to leverage data as an asset across all business processes.

The Financial Crime Data Scientist group offers expertise and services across four core areas of competency:

• Analytics: The financial crime groups consist of Data Scientists and solution architects with diverse backgrounds to help cover operational analytics, predictive analytics, industry models and analytics enablement, and provides actionable enterprise insight and delivers value from an enterprises data.
• Data Management and Integration: providing the foundational layers for enterprise data accessibility, covering data sourcing and integration, data warehouse and modelling, master data management and data rationalisation and migration.
• Data Quality and Governance: developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness for purpose of data for specific business needs, data remediation, and the strategy, roles, policies, and processes to effectively manage data through its lifecycle.
• Reporting design, architecture, and implementation of enterprise reporting solutions: This includes the end-to-end reporting lifecycle across advisory and strategy, identifying compliance reporting trouble spots and delivering achievable roadmaps, design, and implementation.
  

Your responsibilities

As a Senior Consultant, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues across different functions. We succeed when we combine high performing team members from a variety of backgrounds. We will provide the required support to transition into the team if this is your first step into consultancy.

Specifically, these responsibilities will be assigned to you:

• Participate in financial crime engagements to provide analytic support and help clients implement AML strategies and mitigate potential risk.
• Act as a subject matter expert and coordinate with the risk committee to conduct transaction monitoring coverage assessment on each line of business and jurisdiction.
• Extract historical transaction data from different source and validate the quality of the data for analytics purposes.
• Use data analytics and machine learning to tune anti-money laundering model thresholds and prepare Above-The-Line and Below-The-Line sample alerts for testing.
• Collaborate with different teams, for model validation, model implementation and reporting in support of the client's AML risk program.

Skills & attributes for success

• Ability to communicate ideas clearly (spoken and written)
• Ability to provide excellent client service and manage and build strong relationships both internally and externally.
• Ability to be self-sufficient within large companies (financial institutions, specifically)
• Be versatile, rigorous and curious
• Enjoy teamwork
• Have 3-5 years' experience in technologies / data analysis.
  

To qualify for the role, you must have:

• Bachelor's degree in computer science, mathematics, data science, engineering, or a related field and approximately 3-5 years experience in related field. Master's degree is an asset.
• Experience working with very large data sets using tools like SQL, Hadoop and Spark
• Advanced Programming skills in R or Python, and experience using an object-orientated programming language like Scala
• In-depth knowledge of AI/Machine Learning techniques and algorithms such as K-means, Logistic Regression, KNN, Random Forest, Sentiment Analysis (NLP) etc.
• Data processing such as ETL, parsing and handling data quality-related issues

Ideally, you'll also have:

• Knowledge of regulatory requirements and guidelines (FINTRAC guidelines, OSFI E-23, OFAC regulations)
• Experience in AML and Fraud detection model development. Good understanding of the modeling life cycle.
• Experience in Generative AI and Large Language Models (LLMs)
• Consulting experience
• Experience with :
  • AML software (Actimize, Fircosoft, SAS, Mantas, Alessa)
  • Other DB technology (e.g., Teradata, Oracle)
  • Other leading ETL packages (e.g., Informatica, DataStage)
  • Microsoft Azure and Azure DevOps
  • Fraud
  • Business Intelligence
  • Solution Architecture
  • Business analysis/systems
    

What we look for

We're interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Consulting space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

What we offer
We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

• The opportunity to manage a portfolio of talent within a designated service line
• A collaborative environment where everyone works together to create a better working world
• Excellent training and development prospects, both through established programs and on-the-job training
• An excellent team of senior colleagues, dedicated to managing and varying your workload

Diversity and Inclusion at EY

Diversity and inclusiveness are at the heart of who we are and how we work. We're committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advocating for the 2SLGBT+ community, promoting our Neurodiversity Centre of Excellence and Accessibility initiatives, and are dedicated to amplifying the voices of Indigenous people (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.