Senior Manager, Retail Risk Modeling

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 RBC’s 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 RBC's 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 RBC’s 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 of machine learning tools and advanced statistics to 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 (Git Hub).

Ability to work with UNIX command line.

Ex…