Risk Analytics Specialist

What if you could redefine what’s possible?

With us, you can. You want Purpose. Growth. Opportunity. People who get it. We are the home of ambitious, passionate, and innovative world shapers. With an unmatched breadth and depth of engineering, advisory and science based expertise, our global minds unite to power local solutions. We are pathfinders and impact makers. We are Visioneers. We are WSP.

The Opportunity

Your impact starts here.

As a

Quantitative Risk Analytics Specialist , you will apply advanced quantitative methods to help shape safe, resilient and sustainable outcomes across

mining, resources, infrastructure and environmental

projects. This role can be based anywhere in Canada.

You will lead and deliver complex

risk analytics

assignments, developing probabilistic models, simulations and decision-support tools that help our clients understand uncertainty, interdependencies and potential impacts on their assets and operations. Partnering with multi-disciplinary teams across WSP, you will turn data and domain knowledge into insights that support risk management strategies, regulatory compliance and critical investment and operational decisions.

Your Impact

In this role, you will:

Lead and deliver

quantitative risk analytics

for mining, resource, infrastructure and environmental projects, from scoping and data collection through to modeling, interpretation and recommendations.

Develop and implement

probabilistic models and simulations

(including Monte Carlo–based approaches) to quantify uncertainty, evaluate risk exposure and support decision-making for complex engineering and operational systems.

Apply and tailor

risk modeling methodologies

such as Fault Tree Analysis (FTA), Event Tree Analysis (ETA) and Quantitative Risk Assessment (QRA) to assess safety, environmental and operational hazards across projects.

Design and run

scenario and sensitivity analyses

to test risk response options, mitigation strategies and investment choices under different assumptions and future conditions.

Translate

engineering and operational problems into quantitative models , clearly documenting assumptions, data sources, limitations and implications for decision-makers.

Work closely with technical specialists and project managers across WSP to

embed risk analytics

into broader project frameworks, linking to design, environmental assessment, permitting, cost and schedule, and asset management.

Prepare

clear, concise reports, visualizations and presentations

that communicate complex analytical findings to both technical and non-technical audiences, including clients and senior stakeholders.

Facilitate and contribute to

multi-disciplinary risk workshops , guiding subject matter experts through structured risk identification, evaluation and prioritization processes.

Support the

development and continuous improvement of internal tools, templates and best practices

for quantitative risk analytics, and provide mentorship on methods and approaches where appropriate.

The Skills That Set You Apart

You bring a strong blend of technical depth, domain awareness and practical problem-solving, including:

5–10 years of experience in risk analytics , ideally applied within mining, infrastructure, energy, resource or environmental risk domains.

A

Master’s degree or PhD

(or equivalent experience) in Statistics, Applied Mathematics, Data Science, Engineering or a related field, with a strong foundation in

probability, statistics and uncertainty analysis .

Demonstrated experience with

Monte Carlo simulation and probabilistic risk modeling , including scenario and sensitivity analysis for complex systems.

Experience modeling interdependencies between risks and system components.

Familiarity with

risk modeling methodologies

such as FTA, ETA and QRA, and the ability to adapt them to different project and regulatory contexts.

Proficiency in Python or R

for data analysis and modeling, including building reproducible analytical workflows and leveraging relevant statistical and simulation libraries.

Experience working with structured and unstructured data to support quantitative modeling and analytics

Proven ability to

translate engineering or operational questions into quantitative models , and to clearly explain model logic and results to diverse audiences.

Experience

working with and guiding diverse teams of subject matter experts

and facilitating workshops or risk sessions in multi-stakeholder environments.

Strong skills in

communicating analytical insights , ideally supported by data visualization tools (e.g., Power BI, Tableau or Python visualization libraries).

An asset (nice to have):

Experience with

probabilistic modeling of risk interdependencies .

Knowledge of

machine learning, predictive analytics and optimization methods

in a risk context.

Exposure to

financial risk modeling or cost–risk analysis , linking risk outcomes to business cases and investment decisions.

Knowledge of

reliability engineering or probabilistic failure analysis .

Experience working with

cloud or modern data platforms

(e.g., Azure, AWS or GCP).

Why Choose WSP?

We exist to shape communities to advance humanity. The brightest engineers, advisors and scientists from across the globe call WSP home.

Proudly Canadian – we are a Top 100 Employer in Canada for 2026.

A global community of brilliant minds – your next idea, mentor or opportunity is always within reach.

Limitless opportunities start here. Whether it’s across the country or around the globe, we help you tailor your role to match your ambition — because your growth drives ours.

Flexible work, real balance – we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours.

Compensation

Compensation:

AB, BC, NT, NU, SK & YT:

$104,100 – $138,000

MB & ON:

$95,000 – $130,800

NB, NL, NS, PEI & QC:

$94,100 – $124,900

Disclosure:

The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The wage range provided in this job posting may be subject to change for business purposes.

Join Us in Making an Impact

If you’re ready to bring your

risk analytics expertise

to projects that matter, we want to hear from you. Apply now and let’s build something great together.

Job Info

Job Identification 82347

Posting Date 03/18/2026, 05:09 PM

About Us At

WSP , we exist to shape communities to advance humanity. It’s why we bring people together who are wired to solve complex challenges - engineers, scientists, advisors, and technical experts who are driven by a common passion - to redefine what’s possible and shape what comes next. We are Visioneers. As one of the world’s leading professional services firms, we partner with clients across transportation, infrastructure, environment, buildings, energy, water, mining and metals. We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting, positive impact. At

WSP , you’ll join a community of brilliant minds that push boundaries every day - applying deep expertise and fuelling innovation to help create a more connected and resilient future. Here, your ideas are valued, your growth is supported, and you are encouraged to bring your authentic self to work. We empower our people to collaborate across disciplines, challenge the status quo, and shape a career with purpose. Join us. Please Note: Health and Safety is a core paramount value of WSP. Given the importance of keeping one another safe it is expected that you comply with our Health, Safety & Environment (HSE) policy at all times as well as client HSE policies when working at client locations. Full details here. Some safety-sensitive positions involve fieldwork and may include work in a variety of environmental conditions, such as remote or isolated areas, working alone, and in inclement weather (within safe and reasonable limits). WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WSP is committed to the principles of employment equity. Only the candidates selected will be contacted. WSP does not accept unsolicited resumes from agencies. Full details here.

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