Senior Data Engineer, Wholesale Credit Risk - GRM

Job Summary

Job Description

Job Summary:

This position builds a next generation credit risk data and analytics platform to support Commercial and Wholesale Credit risk oversight reporting, risk analytics and insight activities, with focus on the technology infrastructure, innovation and data governance. The position also builds data solutions aimed at improving internal analytics and reporting processes by strengthening data acquisition, data governance and automation capabilities to enable faster and deeper management insight.

What will you do?

• Build and maintain the wholesale credit risk platform infrastructure, utilizing modern open-source computing technologies.

• Work closely with credit risk teams to build and maintain a flexible and reusable data architecture.

• Build data solutions to support internal credit reporting and analytics needs, utilizing modern open-source computing technologies.

• Build solutions to implement data governance requirements, utilizing a flexible and reusable data quality framework.

• Proactively seek out, identify and take action to address process inefficiencies. Act on these opportunities based on priority and impact.

• Be strategic; develop broad-based and reusable solutions.

Who you are:

You have proven experience successfully implementing data solutions that address stakeholder needs and delivering business value. You excel at decomposing problems and formulating solutions; you follow through with building and deploying the solutions utilizing modern open-source computing technologies and you require minimal supervision doing so as you proactively seek understanding, manage stakeholder expectations and deliver accordingly.

What will help you succeed?

Must-have

• Experience maintaining technology platform infrastructure (Linux, Python, GitHub, Airflow, Jupyter)

• Experience modelling financial institution data, preferably in wholesale credit.

• Experience with data ingestion, data lakes and building data pipelines within a cloud environment.

• Expertise in Hadoop technologies (HDFS, Yarn, MapReduce, Hive and Pig)

• Proven experience as a Business Analyst (in a Business line, Risk and/or Finance functions)

• Excellent SQL, Python and Panda skills.  Fluency using GitHub, Airflow and Jupyter.

• Independent Work: skills to understand assigned work and independently execute to completion with minimal supervision.

• Project Discipline: ability to execute assigned work, forecast roadblocks and escalate issues as appropriate.

• Problem Solving: creative thinking to support the development of creative solutions.

• Communication: exceptionally strong written and oral communication skills to explain complex concepts, influence and build consensus.

• Networking: ability to build and utilize internal networks to progress initiative work.

Nice to Have

• Undergraduate degree in business or related discipline or other professional related qualification

• Minimum 3-5 years experience with big data technologies - Hadoop (HDFS, Hive), structured and semi-structured databases, parallel processing techniques and Apache Spark

• Minimum 3-5 years experience with Enterprise grade database systems such as Oracle, SQL Server, and DB2

• Minimum 3-5 years experience as a Data Engineer

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.

• A comprehensive Total Rewards Program including bonuses and flexible benefits.

• Leaders who support your development through coaching and managing opportunities.

• Ability to make a difference and lasting impact.

• Work in an agile, collaborative, progressive, and high-performing team.

• The opportunity to interface with senior level executives from many different parts of the organization.

• Work in a purpose-driven organization.

• RBC is committed to an inclusive, equitable and accessible workplace.

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Job Skills

AI Concepts, AI Concepts, Analytical Thinking, Apache Airflow, Apache Hadoop, Apache Hive, Artificial Intelligence (AI), Business Analysis, Business Requirements, Communication, Creative Thinking, Critical Thinking, Data Ingestion, Data Lake, Data Modeling, Data Quality, Data Quality Analysis, Data Quality Test Automation, Forward Thinking, Generative AI, GitHub, GitHub Copilot, Hadoop Distributed File System (HDFS), Hadoop MapR, Hadoop YARN {+ 10 more}

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-27

Application Deadline:

2025-07-15

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

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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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 jobs.rbc.com.