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Added 27 mins ago
CC
Data Engineer
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- Full-time
Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven…
Added 27 mins ago
PC
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- Full-time
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Added 28 mins ago
CC
Data Engineer
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- Full-time
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Added 28 mins ago
CC
Data Engineer
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- Full-time
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Added 28 mins ago
Risk Analytics Manager
First West
Langley (District), BC · Langley, BC
We are currently seeking a Risk Analytics Manager to join our team.
Added 28 mins ago
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Added 28 mins ago
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Added 43 mins ago
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Added 57 mins ago
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First West

Risk Analytics Manager

Langley (District), BC, Canada
200-19933 88th Ave, Langley, BC, V2Y 4K5, Canada

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Job details

Education: Bachelor’s degree
Experience: Minimum 4-5 years of relevant professional experience is required or an equivalent combination of education and experience.
Posting language: English
Posted: Nov 6, 2026

Original job description

We are currently seeking a Risk Analytics Manager to join our team.

The Risk Analytics Manager supports enterprise risk management through quantitative analysis, portfolio monitoring, and the development of reliable management information. The role is responsible for identifying emerging risk trends, maintaining analytical datasets and reporting, supporting risk methodologies and measurement processes, and translating complex results into decision-ready insights. Working closely with Credit Risk Management, Finance, Treasury, Technology, Data, and business stakeholders, the Risk Analytics Manager helps strengthen proactive portfolio management, data quality, analytical controls, and risk governance.

Here’s what would be included as a part of your typical day

Portfolio Risk Analytics: Conducts quantitative analysis of credit and portfolio risk to identify emerging trends, concentrations, vulnerabilities, and opportunities for proactive risk management.
Risk Reporting & Dashboards: Develops, enhances, and maintains recurring risk analytics, management information, dashboards, and reporting for Credit Risk, Finance, Enterprise Risk, senior management, and risk committees.
Data Management & Quality: Builds and maintains reliable analytical datasets by sourcing, reconciling, validating, and documenting data from multiple systems; investigates data-quality issues and work with business and technology partners to resolve them.
Process Automation: Automates analytical processes and transition manual spreadsheet-based reporting toward controlled, repeatable, and centralized solutions using appropriate data, visualization, and programming tools.
Methodology & Control Documentation: Prepares clear documentation of data sources, assumptions, methodologies, controls, limitations, and results to support transparency, reproducibility, governance, audit, and regulatory review.
ICAAP & Capital Risk Analytics: Supports the Internal Capital Adequacy Assessment Process (ICAAP) by developing and maintaining risk analytics, stress testing, scenario analysis, capital adequacy assessments, and risk appetite monitoring. Evaluates capital requirements under base and stressed conditions, and prepares analysis and documentation for senior management, risk committees, and regulatory review.
Credit Risk Modelling & Model Performance Monitoring: Develops, validates, enhances, and monitors credit risk models, including probability of default (PD), loss given default (LGD), exposure at default (EAD), risk rating, and portfolio forecasting models. Performs model performance analysis, back-testing, sensitivity analysis, and ongoing monitoring to ensure models remain accurate, reliable, and aligned with regulatory and governance requirements.

Required Skills, Experience & Qualifications

Bachelor’s degree in a quantitative discipline required; Master’s degree preferred. Preferably with demonstrated hands-on experience applying data science, statistical modelling, or quantitative analysis through professional work, academic research, a thesis or capstone project, internship, or co-op placement.
Minimum 4-5 years of relevant professional experience is required or an equivalent combination of education and experience.
Professional designation or progress toward a relevant designation, such as CFA, FRM, CPA, or equivalent, preferred.
Apply critical thinking, analytical skills and sound professional judgment
Demonstrated accountability and a result-oriented approach
Ability to collaborate and build strong working relationships
Strong attention to detail and commitment to quality accuracy
Advanced quantitative analysis, data interpretation, and problem-solving skills, with the ability to convert complex results into practical risk insights.
Advanced proficiency in programming languages such as Python or R.
Working knowledge of statistical modelling, model performance monitoring, data validation, and analytical controls.
Strong technical writing, documentation, presentation, and stakeholder communication skills.
Ability to manage multiple recurring and project-based deliverables, work independently, and meet deadlines in a controlled environment.
Overnight travel may be occasionally required, up to 6 times per year
Displays an understanding of risk and risk ownership by being able to demonstrate adherence to policies and procedures.

What’s in it for you:

First, we strive to make our team members feel genuinely rewarded. You’ll have:

Mental health coverage and resources
Customizable health benefits, as well as topped-up parental leave
Performance-based compensation, employee banking advantages and group RRSP matching
Vacation time and flexible work arrangements to support your lifestyle

We are committed to providing a fair, equitable, and competitive rewards package that reflects the value an individual brings to our organization. The compensation mentioned in this job posting should serve as a guide. The total cash compensation earned may vary based on a variety of factors including bonuses and/or incentives, an individual’s skills and experience, and may correlate with performance in the role.

We also provide and encourage opportunities for our employees to make a meaningful impact. After all, as a credit union we’re powered by giving back - in big ways and through small gestures. That's why we offer employees paid time off to volunteer, partner with thousands of local charities, build long-lasting relationships that help our members get ahead and commit to environmental, social and governance (ESG) practices.

By joining our team, you’ll be able to elevate your potential. Wherever your own purpose leads, we’re here to support you with award-winning in-house training programs, access to LinkedIn Learning, and reimbursement for external courses to help you get ahead.

Take the next step in your career as part of our team. Apply for this opportunity!

Candidates, please note: if you are being considered for this role, you will be required to complete a background check, such as employment verification, credit check and criminal record check.

Diversity, Equity, Inclusion & Belonging

At Tru Cooperative Bank, we embrace diversity regardless of gender identity or expression, sexual orientation, religion, race, ethnicity, age, diverse ability, and any aspect that makes someone unique. Inclusion is woven through our organization, from our employee-led network groups, hiring practices and education programs that address barriers and continually grow our equitable, diverse and inclusive culture.

We encourage people who are from equity-deserving groups to apply for a career with us, including women or non-binary people, persons with diverse abilities, Black, Indigenous Peoples, People of Colour and members of 2SLGBTQIA+ communities.

If an accommodation would help you during the process of applying or interviewing for a career with us, please let us know how we can assist you, whether it’s preparing materials in an alternate format, booking an accessible meeting room or other arrangement.

Your individuality is welcome here.

About Us

We’re a financial cooperative that does things differently. We provide time-tested advice that helps our members feel optimistic about their future, and we offer comprehensive banking solutions that enable people to confidently reach their goals. With the financial strength and extended branch network of a large financial institution, we maintain local connections to our communities and take a unique grassroots approach to service. Our more than 250,000 members and approximately 1,250 employees operate from 45 branches throughout the province of BC, under the Envision Financial, Valley First, Island Savings and Enderby & District Financial brands. Visit trucooperativebank.ca for more information on Tru Cooperative Bank.

Statement on AI Use:

In accordance with Ontario’s Employment Standards Act, we confirm that no artificial intelligence (AI) tools are used to screen, assess, or select applicants for this position. All applications are reviewed by our recruitment team.

Statement of Genuine Vacancy:

This posting represents a true and current vacancy within our organization. We are actively seeking to fill this role and welcome applications from qualified candidates.

Please know we appreciate your interest in us but only candidates selected for an interview will be contacted.

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More about this job

Responsibilities

Requirements

Candidates must have a bachelor's degree in a quantitative discipline and 4-5 years of relevant professional experience. Proficiency in programming languages like Python or R and strong analytical and documentation skills are required.

Skills

Quantitative analysis
Portfolio risk management
Data management
Process automation
Statistical modelling
Python
R
Credit risk modelling
Stress testing
Scenario analysis
Data validation
Analytical controls
Technical writing
Stakeholder communication
Critical thinking
Problem-solving

Benefits

Mental health coverage
Customizable health benefits
Topped-up parental leave
Performance-based compensation
Employee banking advantages
Group RRSP matching
Vacation time
Flexible work arrangements
Paid time off to volunteer

Visa sponsorship

Not detected in the job text

Keywords

Risk Analytics
Enterprise Risk Management
Credit Risk
Portfolio Monitoring
Data Quality
Analytical Datasets
Process Automation
ICAAP
Capital Risk
Stress Testing
Scenario Analysis
Probability of Default
Loss Given Default
Exposure at Default
Back-testing
Python
R
CFA
FRM
CPA
Data Science
Statistical Modelling
Governance
Regulatory Review
Financial Cooperative

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