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Last updated: 18 hours ago

Lead Quantitative Risk Analyst, Advanced Analytics & Credit Modelling

0000050007 Royal Bank of CanadaTORONTO, Ontario, Canada
Full-time

As part of the Commercial & Wholesale Credit Risk, the Lead Quantitative Risk Analyst, Advanced Analytics & Credit Modelling will take a primary role in developing and enhancing proactive risk over...Show more

Quantitative Researcher, Evergreen Portfolio Management (Boston or Toronto)

HarbourVest Partners, LLCToronto
Full-time

For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners...Show more

Angular Developer

Tundra Talent CommunityToronto, ON, Canada (Hybrid)
Full-time

Desired Skills and Experience:.Degree in Computer Science, Engineering and or equivalent industry experience.Must be fluent in English with strong communication skills.Minimum 3 years experience in...Show more

Salesforce Developer

Spectrum Health CareToronto, Ontario, Canada
Full-time

Develop and customize Health Cloud objects, components, and integrations to support patient management and outcomes tracking, adhering to healthcare standards and privacy requirements.Design and im...Show more

Manager, Quantitative Model Validation (Model Vetting)

TSX Inc.Adelaide St W,Toronto
Full-time

Venture outside the ordinary - TMX Careers.The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations ...Show more

Automation Developer

Randstad CanadaToronto, Ontario, CA
Temporary
Quick Apply

We are seeking a highly skilled Automation Developer with robust experience in Software Asset Management (SAM) and Hardware Asset Management (HAM).This role is responsible for designing, implementi...Show more

Quantitative Developer

SynechronToronto, ON
Full-time

At Synechron, we believe in the power of digital to transform businesses for the better.Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital ...Show more

Investment Management Quantitative Product Manager

VanguardToronto, ON, CA
Full-time

Vanguard is seeking a product manager to drive the development of Vanguard's front office research and analytics platform.As part of our Investment Management Insights team, you will play a critical ...Show more

Developer

ScotiabankToronto, ON, CA
Full-time

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.We are seeking a detail-oriented and proactive software.Developer to design, develop, and maint...Show more

Java Developer

08763 Citi Canada Technology Services ULCMississauga Ontario Canada
Full-time

We are looking for an enthusiastic and motivated Java Developer to join our dedicated Risk Platform team.This is an exciting opportunity to begin your career in a mission-critical domain, contribut...Show more

Backend Developer

InitiateToronto, ON, Canada
Remote
Full-time
Quick Apply

We are partnering with a fast-growing, Canada-based online sportsbook and casino to hire an experienced.Reporting to the Director of Development, you will play a critical role in building scalable ...Show more

FullStack developer

QA Consultants Inc.Mississauga, Ontario, Canada
Full-time

In just three decades, ALTEN has become a global leader in Research & Development, Engineering, IT Services, Life Sciences, and Network Services.With a presence in more than 30 countries and a team...Show more

Quantitative / Quant Developer - Toronto, ON - Fulltime Opportunity

Zodiac SolutionsToronto, ON, Canada
Full-time
Quick Apply

Role: Quantitative / Quant Developer Location: Toronto, ON(4 days hybrid) Duration: Fulltime Opportunity Years of experience: 8+ years <...Show more

 • New!

Associate, Quantitative Modelling

BMOToronto, ON, CAN
Full-time +1

BMO Capital Markets is a leading, full-service financial services provider.We offer corporate and investment banking, treasury management, as well as research and advisory services to clients aroun...Show more

Lead Quantitative Risk Analyst, Advanced Analytics & Credit Modelling

Royal Bank of Canada>TORONTO, Canada
Full-time

As part of the Commercial & Wholesale Credit Risk, the Lead Quantitative Risk Analyst, Advanced Analytics & Credit Modelling will take a primary role in developing and enhancing proactive risk over...Show more

Android Developer

CBC/Radio-CanadaToronto
Full-time

Position Language Requirement:.At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms.Our successes and accomplishments are driven by embodying...Show more

Guidewire Developer

MaarutToronto, ON, ca
Full-time
Quick Apply

We are looking for a Guidewire Developer with experience in Guidewire suite billing, Portal & Gosu to work with our client in insurance.IT with 3+ Years of Guidewire suite.JavaScript, Java, C# or s...Show more

 • New!

Python Developer

Astra North Infoteck Inc.Toronto, ON, ca
Full-time

Design, develop, and maintain scalable, high-performance applications using Python and modern frameworks.Build and support RESTful APIs and microservices using frameworks like FastAPI, Flask, or Dj...Show more

People also ask
Lead Quantitative Risk Analyst, Advanced Analytics & Credit Modelling

Lead Quantitative Risk Analyst, Advanced Analytics & Credit Modelling

0000050007 Royal Bank of CanadaTORONTO, Ontario, Canada
1 day ago
Job type
  • Full-time
Job description

Job Description

What is the opportunity?​As part of the Commercial & Wholesale Credit Risk, the Lead Quantitative Risk Analyst, Advanced Analytics & Credit Modelling will take a primary role in developing and enhancing proactive risk oversight of the Commercial portfolio from credit modeling perspective. This role’s responsibility will include developing credit models, engaging with stakeholders across risk and business, communicate results to senior executives, and providing expertise on credit risk modeling.What will you do?
  • Modeling responsibilities covers a wide variety of models including, but not limited to, Machine learning, Artificial Intelligence, credit scoring, and surveillance models for the purpose of reducing losses or driving revenue in the portfolio
  • Responsible for sourcing data, engineering features, as well as developing, monitoring, and deploying models.
  • Extract, clean, validate, and analyze usable data from multiple data sources/providers to quantify borrower behavioral patterns.
  • Participate in data assessment and procurement for credit modeling and analytics, help automate the underlying credit modeling feature farm, assess, and address data gaps, as well as develop, monitor, and deploy credit risk models.
  • Engage with stakeholders and experts across adjudication and line-of-business throughout model development cycle; solicit input from expert and ensure models are business-sound.
  • Prepare model documentation, source codes, presentation decks, and/or model monitoring reports.
  • Responsible for resolving issues raised by independent validation, Internal Audit and ongoing model monitoring.
What do you need to succeed? Must-have:
  • Undergraduate degree in computer science, finance, mathematics, statistics, or economics, with at least 5 years of working experience in related credit risk modeling roles.
  • Hands-on experiences with large datasets (ingestion, processing, merging and aggregation of data), with fluency in both SQL and big data/cloud technologies (Hadoop, PySpark, S3).
  • Strong Python coding skills to support automation and efficient end-to-end model scoring/implementation.
  • Strong understanding and working knowledge of advanced statistical methods and machine learning techniques for classification and regression tasks.
  • Demonstrated knowledge of credit risk models and time series analysis.
  • Experience in code sharing and version control solutions (GitHub).
Nice to have:
  • Master degree in computer science, finance, mathematics, statistics, or economics.
  • Knowledge of GenAI use cases in retail / commercial lending.
  • Knowledge of other programming languages such as R, Java, Scala, or SAS.
  • Ability to work with UNIX command line.
  • Prior model development experiences for IFRS9, stress testing or capital measurement.
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.
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Opportunities to do challenging work
Job SkillsClient Counseling, Credit Risk Modeling, Critical Thinking, Derivatives, Economic Analysis, Financial Instruments, Investment Banking Analysis, Investment Risk Management, Machine Learning (ML), Market Risk, Quantitative MethodsAdditional 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:

2026-04-14

Application Deadline:

2026-04-30Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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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