Job Description

Come Work with Us!

At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

Whether you\xe2\x80\x99re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

Job Title Senior Manager, Data Science (Credit Risk Analytics)



\xe2\x80\x8bWhat is the Opportunity?

The GRM Risk Policy and Analytics group provides independent and effective on-site monitoring, control and communication on the nature and extent of material risks for Business Financial Services (BFS). We are looking for someone who can drive custom risk Analytics and Insights to business partners by building and operating a modern, open source scalable platform for reporting, analytics and data science. As a Senior Manager, Data Science you will contribute to the overall success of the BFS risk oversight strategies and objectives. You are accountable for executing reporting functions, strengthening risk methodologies and evolving the analytics capabilities for the team.

Portfolio Risk Oversight (PRO) is extremely dynamic and the team needs to be able to proactively uncover insights from new risk trends and processes using open source data technologies. To succeed you will have to develop and maintain strong ties with business leaders to support decision making through a combination of custom analytics and the evolution of the PRO data infrastructure. The PRO team runs a best-in-class data & analytics stack, which requires constant refinements and enhancements to provide business users with relevant and timely self-serve analytics. You will ensure that our team is successful by leveraging the data in the best possible way. You will be a hands-on analytics practitioner and consultant to ensure that we track, maintain and analyze data in a way that leads us to optimize operational processes and make better business decisions.

What will you do?

• Support the PRO Business Analytics & Innovation leadership in the design, coordination, execution and monitoring of key transformational initiatives
• Partner with cross functional teams to develop an ML/data science products.
• Lead & support the development of feature farm for machine learning and deep dive initiatives
• Building and supporting data engineering pipelines in Python using PySpark and Apache Airflow for reporting, data science, analytics, and ad-hoc querying.
• Lead & support the development of an open source geospatial framework to identify and report the portfolio exposure based on an adverse climate or supply chain events.
• Support the risk data architecture, data management standards and conventions, data naming standards, and metadata standards to ensure effective availability, scalability, security, and integrity of data assets.
• Manage and optimizes an inventory of risk data sources. Responsible for compiling, aggregating, testing and validating different data repositories/sources for the risk dashboards ensuring completeness, accuracy, timeliness and integrity of information;
• Analyze data sources, evaluating and remediating data quality, designing and implementing data sets that can be consumed and re-used by our analytics team

What do you need to succeed?

Must-have

• Bachelor\xe2\x80\x99s degree in computer science, Economics, Finance, Computer Science, Statistics, or equivalent
• At least 5 years of professional work experience in the area of Data Analytics / Data Science / Business Analytics
• Strong experience in the big data ecosystem, with Hadoop (Hive, HDFS), Apache Spark, and NoSQL/SQL databases
• Strong experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)
• Strong Python programming experience especially using modules/packages such as SciKit-Learn, Pandas, SQLAlchemy , NLTK, spaCy etc.
• Experience with Natural Language Processing and supervised/unsupervised learning methodologies.
• Strong core competency in SQL. Experience in writing complex SQL queries to extract and integrate data from multiple database source

Nice-to-have

• Knowledge of Credit Risk Modelling techniques
• Experience working with knowledge graphs stores (Neo4j) and surrounding semantic technology
• Knowledge of open source Geospatial Frameworks
• Experience working with Cloud Technologies

What\xe2\x80\x99s 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.

• A comprehensive Total Rewards Program
• Leaders who support your development through training and coaching
• Work with a dynamic, collaborative team with ability to make a difference

Job Summary This position will be a part of Portfolio Risk Oversight (PRO) Data Infrastructure & Innovation team. As a Senior Manager, Data Infrastructure & Innovation in PRO team you will drive custom risk analytics and insights to business partners by building and operating a modern, open source scalable platform for reporting, analytics and data science. To succeed you have extensive Data Science / Business Analytics experience with a track record of liberating and strengthening data capabilities, deeper insights and better data driven business decisions.

Address: TORONTO, Ontario, Canada

City: CAN-ON-TORONTO

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: Group Risk Management

Job Type: Regular

Pay Type: Salaried

Posted Date: 2022-12-08-08:00

Application Deadline: 2023-01-28-08:00

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

Royal Bank of Canada