Company

View Other Rbc - Royal Bank OffersSee more

addressAddressToronto, ON
type Form of work• Full time
CategoryInsurance

Job description

Job Summary

.As part of the Group Risk Management (GRM) team, the Senior Manager, BFS Credit Risk Modeling and Initiatives - GRM will support the leadership on developing and enhancing proactive risk oversight of BFS portfolio from credit modeling perspective. This role's responsibility will include procuring data, engineering features, as well as developing, monitoring, and deploying credit models. The modeling responsibilities covers a wide variety of models including, but not limited to, Machine Learning, Artificial Intelligence, Credit Scores, and surveillance models for the purpose of measuring, monitoring and reducing credit losses or driving top-line in the portfolio.

Job Description

What is the opportunity?

As part of the Group Risk Management (GRM) team, the Senior Manager, BFS Credit Risk Modeling and Initiatives - GRM will support the leadership on developing and enhancing proactive risk oversight of BFS portfolio from credit modeling perspective. This role's responsibility will include procuring data, engineering features, as well as developing, monitoring, and deploying credit models. The modeling responsibilities covers a wide variety of models including, but not limited to, Machine Learning, Artificial Intelligence, Credit Scores, and surveillance models for the purpose of measuring, monitoring and reducing credit losses or driving top-line in the portfolio.

The team pride itself for best-in-class data & analytics stack, innovative approach in risk management, high quality work with significant impact across risk and business, and continuous interaction with other groups, and senior management. Our vision is to leverage our data infrastructure to drive forward-looking risk insight.

We are looking for a bright committed and high-performing individual to become a key contributor to drive PRO's Credit Risk modeling initiative. The incumbent is expected to have strong analytical/quantitative, financial and business acumen, and communication skills.

What will you do?

  • Leverage, or enhance, PRO data and infrastructure and develop Credit Risk Models using leading-edge modeling approaches. e.g., Early Warning Signal, and Location-based Risk Score,
  • Acquire, transform, and summarize data using both traditional database tools and cutting-edge big data technologies (structured or unstructured data),
  • Perform data assessment and procurement for credit modeling and analytics, engineer features, help automate the underlying credit modeling feature farm, assess, and address data gaps, as well as develop, monitor, and deploy Credit Risk Models,
  • Support initiatives such as Criteria Paper recalibration, sectoral financial forecasting models, or evolving stage-3 credit provision forecasting methodologies,
  • Collaborate with risk and business partners across head-office and regional banking during model development, fact-finding, model implementation, monitoring and enhancement; solicit input from experts and ensure models are business-sound,
  • Communicate clear and concise results to PRO leadership and/or partners across business and risk; ensure alignment with model objectives,
  • Develop in-depth understanding of Credit Risk across industries or credit products within BFS.
  • Proactively prepare model documentation, source codes, presentation decks, and/or model monitoring reports,
  • Provide analytical support on Ad Hoc requests originating from stakeholders in business and GRM teams, and senior management.
  • Collaborate internally with broader PRO team on other team initiatives or mandates such as creating reporting dashboards, deep-dives, and data-pipelines.

What do you need to succeed?

Must-have

  • Degree in quantitative disciplines such as Mathematics, Statistics, Economics, Computer Science, or other fields that provides excellent exposure to quantitative/statistical methods,
  • Typically, 3+ years of experience in data analytics, data science, or Credit Risk modelling or other financial and non-financial Risk Models at a major financial institution,
  • Strong data manipulation capability with SQL, Python, or other programing tools; expertise with MS Office Suite,
  • Strong written and verbal communication with an ability to convey complex concepts effectively and translate results into actionable and relevant insights to intended audience,
  • Working experience with machine learning, NLP, and/or other AI techniques,
  • Familiarity with Commercial business, credit products, and possess financial acumen.

Nice-to-have

  • Advanced Degree (master's or PhD) in quantitative field of study - to demonstrate capability for critical thinking and data analysis,
  • Proven ability to manage multiple priorities, execute decisions quickly, and deliver on tight timeline in a fast-paced environment,
  • Expertise in navigating RBC internal data: Enterprise Data Warehouse, Credit Risk Assessment (Newton) Data, Wholesale Credit Risk Data (WCRD), and Origination System Data (Synergy),
  • Demonstrated leadership in cross-functional environment,
  • Flexibility and creativity in problem solving, including strong abilities of innovation and pathfinding.

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, fair compensation, commissions, and stock where applicable

  • Leaders who help 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

Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W: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:

2024-02-12

Application Deadline:

2024-03-02

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.

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Refer code: 2128901. View Other Rbc - Royal Bank Offers - The previous day - 2024-02-25 21:26

View Other Rbc - Royal Bank Offers

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