Job Description

Overview

We are seeking an experienced audit professional to support a high-profile independent assessment of model development and validation processes and controls within a large financial institution. This role will focus on evaluating model risk management practices, governance frameworks, and regulatory compliance across credit and fraud risk models.

The successful candidate will join a specialized audit team responsible for assessing data risk, model risk, and emerging AI-related risks. This is a critical initiative requiring strong technical knowledge of model development, validation, and risk management frameworks.

Key Responsibilities

• Participate in and lead audit engagements focused on model risk management, model development, validation processes, and associated controls.
• Execute audit activities independently and, where appropriate, act as Officer-in-Charge (OIC) for less complex audit assignments.
• Develop a thorough understanding of business processes, model governance frameworks, and associated risks.
• Perform audit testing and assessment procedures to evaluate the design and operating effectiveness of controls.
• Document audit workpapers, findings, testing results, and conclusions in accordance with audit standards and methodologies.
• Deliver audits within established timelines while ensuring appropriate audit coverage and testing depth.
• Identify control deficiencies, root causes, associated impacts, and practical recommendations for remediation.
• Draft clear, concise, and high-quality audit reports and communicate findings to stakeholders and management.
• Monitor and track remediation efforts and management action plans related to audit findings.
• Collaborate with business stakeholders, model development teams, validation teams, and risk management functions.
• Support a strong risk and control culture while ensuring compliance with applicable regulations, internal policies, and governance standards.

Required Qualifications

Experience

• 3+ years of experience developing, validating, or auditing statistical and predictive models.
• 3+ years of experience in Credit Risk and Fraud Risk Management, including:
• Risk strategy development
• Model development
• Model governance
• Model risk management frameworks
• Strong knowledge of model risk management regulations and guidance, including:
• OSFI E-23
• SR 11-7 / equivalent model risk management standards
• 3+ years of experience with Retail Banking and Business Banking Credit Risk models, including:
• Probability of Default (PD)
• Loss Given Default (LGD)
• Exposure at Default (EAD)
• AIRB methodology

Technical Skills

• Strong understanding of:
• Model development lifecycle
• Model validation methodologies
• Predictive analytics
• Statistical modeling techniques
• Model governance frameworks
• Experience using analytics and modeling tools such as:
• SQL
• SAS
• Python
• R

Preferred Qualifications

• Experience in Data Analytics, Advanced Analytics, Artificial Intelligence, and Machine Learning.
• Prior experience auditing model risk management frameworks within a regulated financial institution.
• Exposure to enterprise model governance and regulatory examinations.
• Professional certifications such as CPA, CFA, FRM, CIA, or related credentials are considered an asset.

Soft Skills

• Excellent verbal and written communication skills.
• Strong stakeholder management and relationship-building abilities.
• Ability to present complex technical concepts clearly to both technical and non-technical audiences.
• Proven ability to work effectively in fast-paced, ambiguous environments.
• Strong analytical thinking and attention to detail.
• Ability to manage multiple priorities and projects simultaneously with minimal supervision.

Education

• Bachelor's degree or higher in a quantitative discipline, including:
• Mathematics
• Statistics
• Economics
• Finance
• Computer Science
• Engineering
• Business Analytics
• Related STEM field

Ideal Candidate Profile

The strongest candidates will have a combination of:

• Deep expertise in Credit Risk and Fraud Risk models.
• Hands-on model development and validation experience.
• Strong understanding of model risk regulations and governance frameworks.
• Previous audit experience assessing model risk management programs.
• Exceptional communication skills and the ability to effectively challenge stakeholders while maintaining strong working relationships.

Job Type & Location

This is a Contract position based out of Toronto, ON.

Pay and Benefits

The pay range for this position is $50.00 - $65.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Workplace Type

This is a hybrid position in Toronto,ON.

À propos de TEKsystems et TEKsystems Global Services

Nous sommes un fournisseur de services aux entreprises et de technologies. Nous accélérons la transformation de nos clients. Notre compétence en stratégie, conception, exécution et opérations libère la valeur de l’entreprise par un éventail de solutions. Nous sommes une équipe de 80 000 personnes qui collaborent avec plus de 60 000 clients, notamment 80 % du Fortune 500 en Amérique du Nord, Europe et Asie, qui collaborent avec nous dans le cadre de nos capacités full-stack et notre rythme. Nous sommes des penseurs stratégiques, des collaborateurs pratiques qui aident les clients à exploiter le changement et maîtriser le dynamisme de la technologie. Nous bâtissons le futur en livrant les résultats et en créant un impact positif dans nos communautés mondiales. TEKsystems et TEKsystems Global Services sont des entreprises d’Allegis Group. Découvrez d’autres informations à TEKsystems.com.

Ordonnance sur l’égalité des chances de San Francisco: Conformément à l’Ordonnance sur l’égalité des chances de San Francisco, pour tous les postes situés dans la ville et le comté de San Francisco, nous examinerons les candidatures des personnes qualifiées ayant un casier judiciaire ou des antécédents criminels.

Utilisation de l’intelligence artificielle (IA): Nous pouvons utiliser l’intelligence artificielle (IA) pour soutenir certaines étapes de notre processus d’embauche, notamment la recherche, la présélection et l’évaluation des candidatures. L’IA aide à analyser les candidatures et les qualifications, mais les décisions finales sont prises par notre équipe de recrutement. En soumettant votre candidature, vous reconnaissez et acceptez que celle-ci puisse être examinée à l’aide d’outils d’IA.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.econnaissez et acceptez que celle-ci puisse être examinée à l’aide d’outils d’IA.