Senior Manager, Retail Risk Modeling
Senior Manager, Retail Risk Modeling
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Job Description
Job Summary
Job Description
What is the opportunity
Join an inclusive high performing team that is driving outsized results and impact through data!
We sit at the intersection of decades of data high powered data infrastructure continuous research and interesting problems across multiple lines of business. We are in need of smart team players who are passionate about turning data into insights and enjoy collaborating with partners to build and govern models that enable a multi-billion dollar loan portfolio.
Retail Risk Modeling specializes in leveraging large datasets (decades of data!!) to and build models (statistical & machine learning based) to profitably grow loan originations by balancing risk pricing operational efficiency and customer impact. These models are implemented in industry leading systems that enable real-time decision making for millions of customers globally.
As a Senior Manager on the team you will analyze design and implement solutions to support real-time decision making for RBCs lending business lines (credit cards home equity financing various unsecured loans automotive financing small business). You will have the opportunity to develop deep understanding of all of RBCs retail banking product offerings through advanced data analytics. You will be responsible for the end-to-end development of models from data extraction to its implementation while maintaining continuous interaction with key stakeholders within Personal and Commercial Banking.
What will you do
Developing and maintaining credit risk models that support the credit decisions related to RBCs various lending business lines across all risk spectrums (from prime to subprime).
End-to-end project management continuous interaction with key stakeholders (strategy implementation business and model validation partners).
Extract clean validate and analyze usable data from multiple data sources/providers to quantify borrower behavioral patterns and market dynamics.
Construct prediction systems through the usage ofmachine learning tools and advanced statisticsto select features create and optimize classifiers or regression models.
Present result in a clear and concise manner for non-technical stakeholders and comprehensive model documentation.
Responsible for resolving issues raised by independent validation Internal Audit and ongoing model monitoring.
Accountable for existing models in production and responsible for documentation related to existing models.
What do you need to succeed
We want data scientists that own the end-to-end lifecycle of a model you must be comfortable sourcing and exploring data researching statistical and machine learning techniques translating regulatory requirements into models and curious about monitoring and continuous improvement of your models. Excellent communication skills are a must you must be very comfortable taking high complex ideas and distilling them into simple terms. It is not enough just to be a model developer success in the role means working with multiple stakeholders across the bank and transforming their vision into outcomes that can be driven by data. Additionally as a Senior Manager on the team you will be looked-up to as a leader you bring a unique skillset to the team and will be expected to play a mentoring and coaching role.
We are curious we are driven we work hard and we play hard. We love introducing people to risk modelling and we are passionate about what we do.
Must-have:
Undergraduate degree in computer science finance mathematics statistics engineering or an equivalent technical field
4 years of relevant work experience
Hands-on experience with large datasets (ingestion processing merging and aggregation of data) with fluency in both SQL and big data/cloud technologies (Hadoop PySpark S3).
Strong SQL and Python coding skills to support automation and efficient end-to-end model scoring/implementation.
Understanding of advanced statistical methods and machine learning techniques for classification and regression tasks.
Experience in code sharing and version control solutions (GitHub).
Ability to work with UNIX command line.
Excellent English-language verbal and written communication skills
Nice to have:
Master degree in computer science finance mathematics statistics or engineering.
Knowledge of C and prior development of large-scale simulation.
Knowledge of GenAI use cases in retail lending.
Knowledge of other programming languages such as R Java Scala or SAS.
Prior model development experiences for IFRS9 capital modelling or other enterprise risk experience
Whats 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.
Ability to make a difference and lasting impact
Work in a dynamic collaborative progressive and high-performing team
Opportunities to do challenging work
Multiple career paths and progression opportunities
Job Skills
Additional Job Details
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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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Required Experience:
Senior Manager
Employment Type
Full-Time
