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Climate Risk Modelling Jobs in Ontario (NOW HIRING)

Meaningful workyou'llbe part of As a Credit Risk Modelling Senior Associate,you'llwork as part of a ... climate risk modeling,etc. * Build andmaintaineffective,trustingand collaborative client ...

About You * 5-10 years of relevant professional experience, for example in underwriting, risk assessment, risk modelling, or applied sciences (e.g. earthquake, tropical cyclone, flood, or climate ...

Familiarity with GHG management, ESG frameworks (UN SDGs, GRI, ISSB), and climate risk modelling is preferred. * Demonstrated interest or coursework in data analysis, data management, sustainability ...

Familiarity with GHG management, ESG frameworks (UN SDGs, GRI, ISSB), and climate risk modelling is preferred. * Demonstrated interest or coursework in data analysis, data management, sustainability ...

Familiarity with GHG management, ESG frameworks (UN SDGs, GRI, ISSB), and climate risk modelling is preferred. * Demonstrated interest or coursework in data analysis, data management, sustainability ...

Collaborate with modelling team members using proprietary TUFLOW FV hydrodynamic modelling suite to ... Contribute to environmental risk assessment and compliance, ensuring projects meet regulatory ...

We are looking for a Fluids Analyst with a keen interest in computational fluid dynamics modelling ... Conduct studies to understand the risk posed by natural hazards and the physical threat of climate ...

Data Modelling and Documentation: Produce data models setting out the construct of our data ... Experience working within a regulatory risk change environment would be an advantage We'dwelcome ...

New

Climate Risk Modelling information

What are the key skills and qualifications needed to thrive as a Climate Risk Modeller, and why are they important?

To thrive as a Climate Risk Modeller, you need strong quantitative analysis skills, a background in environmental science, mathematics, or a related field, and experience with climate data. Proficiency in programming languages such as Python or R, familiarity with statistical modelling tools, and knowledge of GIS software or climate simulation platforms are typically required. Outstanding attention to detail, effective communication, and problem-solving skills help explain complex findings to diverse stakeholders. These abilities ensure accurate risk assessments and actionable insights for organizations facing climate-related challenges.

What are some common challenges faced by Climate Risk Modelling professionals when working with interdisciplinary teams?

Climate Risk Modelling professionals often collaborate with experts from environmental science, finance, engineering, and policy to assess and mitigate climate-related risks. A common challenge is translating complex technical data into actionable insights that are understandable to non-specialists, while ensuring methodological rigor. Balancing the need for accuracy with project deadlines, and managing the uncertainties inherent in climate projections, are also frequent hurdles. Strong communication skills and adaptability are essential to bridge knowledge gaps and foster productive teamwork.

What is climate risk modelling?

Climate risk modelling is the process of using data, statistical techniques, and computer simulations to estimate the potential impacts of climate change on various sectors, such as finance, agriculture, infrastructure, and insurance. These models help organizations understand and quantify the physical and transition risks associated with changing climate conditions, including extreme weather events, rising sea levels, and regulatory shifts. By assessing these risks, companies and governments can make more informed decisions about investments, risk management, and adaptation strategies.

What is the difference between Climate Risk Modelling vs Climate Data Analyst?

AspectClimate Risk ModellingClimate Data Analyst
Required CredentialsDegree in environmental science, data science, or related fields; certifications in climate modeling or GISDegree in environmental science, statistics, or data analysis; certifications in data analysis tools
Work EnvironmentResearch institutions, government agencies, consulting firmsResearch institutions, government agencies, NGOs, private companies
Industry UsageDevelops models to predict climate impacts and risksAnalyzes climate data to identify trends and support decision-making

While both roles involve working with climate data, Climate Risk Modelling focuses on creating predictive models to assess future climate risks, whereas Climate Data Analysts interpret existing data to inform strategies. Both roles require strong analytical skills and environmental knowledge but differ in their primary objectives and methodologies.

Credit Risk Modelling Senior Associate

Credit Risk Modelling Senior Associate

PwC

Toronto, ON • Hybrid

CA$73K - CA$122K/yr

Full-time

Posted 4 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Financial Risk

Management Level

Senior Associate

Job Description & Summary

A career in our Financial Services Risk & Regulatory Group - Financial Risk Management Credit Risk Modelling practice will provide you with the opportunity to help financial institutions rethink their approach to risk by developing a distinctive strategy and creating capabilities and performance. We play an important part in helping our clients assess, design and develop solutions that not only help them manage risk but also transform risk and complexity into a sustainable advantage.
Our team helps financial institutions with predictive modeling needs, including but not limited to, measure and manage the risk associated with borrowers, counterparties or other third parties who have a financial or contractual commitment to them, expected credit loss measurement (IFRS9 and CECL), capital measurement/stress testing. As part of the team, you'll help with credit risk modeling, model risk management as well as AI/ML/GenAI modeling for financial institutions.

Meaningful workyou'llbe part of

As a Credit Risk Modelling Senior Associate,you'llwork as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include but are not limited to:

  • Model development, validation, internal auditof Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital models, allowance for loan and lease loss models (e.g., IFRS9).Assistassurance teams with reviews of clients' model development and validation processes

  • Artificial Intelligence (AI)/machine learning(ML)/Generative AI (GenAI)model development and validation

  • Model risk governance and controls related activities supporting clients in managing model risk across multiple asset classes

  • Collaborate with the team members at various levels to lead and develop compelling client proposals, white papers, thought leadership and points of view, describing the business challenge and proposed business solution on the topics such asMachine Learning, GenAI and climate risk modeling,etc.

  • Build andmaintaineffective,trustingand collaborative client relationships

Experiences and skillsyou'lluse to solve

  • Proficientexperience and exposure to financial services risk practices, credit risk modeling including retail and wholesale credit modeling techniques for adjudication, capital management, and allowance modeling/ or calculations (e.g.IFRS9)

  • Development,validationand assessment of quantitative credit risk measurement methodologies

  • Proficient experience and exposure to AI/ML modeling,including theoretical approach andrelated technology and platforms;significantexperienceand proven ability in at least one of themainAIplatforms:Vertex AI, Azure AI,etc.is preferred

  • Solid understanding and knowledge of credit risk processes, credit risk analytics, risk rating methodologies, risk managementpoliciesand risk management organization structures

  • Significant experienceand proven ability in at least one of the following programming languages/software: Python, R, SQL, SAS, C++, etc.

  • Master's degreein Statistics, Mathematics, Physics, Engineering, Financial Engineering, DataScienceorother relevant fields

  • PRM, FRM or CFA designation would be an asset

  • Proven abilities, especially creative problem-solving, toutilizecredit risk management software,dataandmethodologyin the completion of client engagements, including leveraging related technology vendors and their application

  • Strong writingskillsdemonstratedthrough the ability todraftproposals, reports, presentations, etc.

  • Strong verbal and written communication skillsdemonstratedthrough interactions with other teams/team members at all levels

  • Demonstrated ability to manage and prioritize multiple projects

  • PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $73,400 - $122,400. The posted salary rangerepresentsthe expected hiring range for PwC locations in major citycentres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary isdeterminedby your skills, experience,qualificationsand work location.In addition to base salary, eligible employees may have opportunities toparticipatein variable incentive pay programs which are designed to reward individual and firm-wide achievements.We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation.During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou'lllove PwC

We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Actuarial Science, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Risk Analysis, Risk Model Implementation, Self-Awareness, Statistical Analysis Software, Statistical Consulting {+ 3 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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