Senior Machine Learning Engineer, Risk Modeling

What is the opportunity? 

RBC Group Risk Management, Risk Modeling and Machine Learning team is hiring a Senior Machine Learning Engineer.  As a key member of the risk modeling team, you will be responsible for supporting model development and implementation activities in retail Credit Risk. The role is a unique combination of data/software/devops/financial engineer. You will have the opportunity to elevate our model development practices and set the gold standard on model implementation on state-of-the-art distributed computing infrastructure.

What will you do?

• Provide data and implementation (both batch and real-time scoring) support for predictive risk models that are utilized in credit decisions in Portfolio Management and Credit Strategies (adjudication, account management and collection).

• Optimize code run time to meet critical business SLA.

• Implement credit risk model and loan cash flow forecast to support various business activities (account acquisition and management, stress testing, PCL forecasting)

• Extract, clean, analyze and preprocess data from various sources to ensure quality and integrity of the data for use in model development.

• Work closely with modelers/data scientists to support their data transformation, analyses, and model coding activities.

• Execute implementation of complex algorithms in production environment.

• Troubleshoot and resolve production issues related with data pipelines

• Explore and leverage best practices in model development pipeline and model implementation.

• Make decisions on technical details around the ETL and preprocessing solutions, and deployment of models.

What do you need to succeed?

Must-have

• B.Sc. Degree or higher in Computer Science or Information Technology

• 5+ years proven hands-on working experience in ML engineering and/or software development

• Expert in data manipulation on large datasets with advanced programming/scripting skills (expert in Python and PySpark)

• Working knowledge of loan cash-flow and recursive risk prediction

• Practical experience in cloud computing/storage and ETL

• Working knowledge with Source Code Management tools (GitHub)

• Exceptionally strong conceptual, analytical and problem-solving skills combined with strong written and verbal communication skills, especially in explanation of complex concepts to a non-technical audience 

Nice to have

• Knowledge on containerization (Kubernetes/Docker/OpenShift) is an asset

• Knowledge on data access, data modeling, data architecture and data storage techniques

• Experience in automation and scheduling of data pipeline for end-to-end modeling solutions

• Knowledge of bank retail products and credit lending processes, experience with financial and credit bureau information

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• Comprehensive Total Rewards Program including bonuses and flexible benefits,  and competitive compensation

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• Flexible work/life balance options

• Access to a variety of job opportunities across business and geographies

Job Skills

Big Data Management, Cloud Computing, Cloud Development, Database Development, Data Engineering, Data Mining, Data Warehousing (DW), DevOps, ETL Development, ETL Processing, Financial Engineering, GitHub, PySpark, Python (Programming Language), Quality Management, Requirements Analysis, Scripting, Waterfall Project Management

Additional Job Details

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTORONTOCanada37.5Full timeGROUP RISK MANAGEMENTRegularSalaried2024-09-282024-12-07

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above