SAS Programming jobs in Alberta

Job Purpose

Reporting to the Risk Director, the Senior Data Analyst supports the organization’s risk management framework through data-driven insights and analytical expertise. This position contributes to the development, programming, analyzing and monitoring of risk models related to credit risk. Working closely with cross-functional teams the Senior Data Analyst is responsible for creating and maintaining high-quality modelling and reporting, performing statistical analysis, and ensuring the accuracy and integrity of risk-related data. The role supports decision-making processes by programming risk policies into automated systems and maintaining comprehensive documentation for internal use. This role follows established procedures, applies sound judgment within defined risk guidelines, and resolves data or analytical issues promptly to minimize operational impact.

Job Duties and Responsibilities

Model Development

• Develop and program the risk models, perform the model implementation and ongoing monitoring of results and controls, including the evaluation of functional performance and operational integrity.
• Ensure documentation of model governance, risk policies, and procedural updates in alignment with regulatory and internal requirements.

Data Analysis & Reporting

• Perform statistical, quantitative, and qualitative analysis to assess risk measurement, and monitor model performance.
• Conduct data reviews and perform quality control checks on data accuracy, consistency, and reliability of risk-related datasets.

Business Expertise & Collaboration

• Provide expert analytical support to enhance the bank’s admission process, credit limits analysis and performance review.
• Collaborate with team members and cross-functional partners to evaluate, refine, and challenge risk policies and strategies.

Qualifications

• Diploma or degree in Finance, Statistics, Business, Actuarial Science, Mathematics, Engineering, Computer Science, Programming, or a related field.

Experience, Skills & Competencies

Experience:

• More than 3 years of experience in a financial modelling, risk management, data analytics, or related role.
• Strong statistics skill using structured query languages (e.g., SQL) and statistical tools (e.g., SAS, Python).
• Expertise on the underwriting and admission processes of financial institutions.
• Experience creating reports using Power BI and Microsoft Office.
• Exposure to programming languages such as Visual Basic or VBA is beneficial.

Skills:

• Strong quantitative and data analysis skills.
• Proficiency in statistical modeling and data mining techniques.
• Attention to detail and accuracy in reporting and documentation.
• Ability to manage multiple tasks and meet tight deadlines.
• Effective communication skills, both verbal and written.

Competencies:

• Analytical thinking and problem-solving to interpret risk data, assess model outputs, and resolve discrepancies in reporting or analysis.
• Attention to detail and accuracy when reviewing datasets, documenting processes, and validating risk model inputs.
• Adaptability and flexibility in responding to changing priorities, regulatory expectations, and evolving credit risk strategies.
• Effective communication and collaboration with team members and cross-functional partners to support risk initiatives and data-driven decision-making.
• Strong planning, organization, and time management to balance multiple analytical tasks, reporting deadlines, and model governance activities.
• Commitment to continuous learning and professional development to maintain up-to-date knowledge of risk modeling, industry trends, and emerging analytical tools.

Working Conditions / Physical Requirements

• Work is performed primarily in a professional office environment with standard office equipment.
• Requires extended computer and desk work, along with occasional interruptions and frequent shifts between tasks.
• Occasional stress may arise from regulatory scrutiny, audits, or external reporting deadlines.
• No travel required.

Conditions of Employment

• Must be legally entitled to work in Canada.
• Successful completion of a background check, including criminal record prior to employment.
• Compliance with Santander Consumer Bank’s Code of Conduct, Information Security policies, and applicable regulatory requirements.

Why Join Us?

At Santander Consumer Bank, we are committed to fostering a culture of compliance and ethical behavior, ensuring that our operations align with laws, regulations, and internal policies. We value innovation and collaboration. As a part of the team, you will have the opportunity to contribute to the success of our business while furthering your career in a supportive and dynamic environment. Join us in our mission to create a safe and secure environment for our customers, stakeholders and our employees.

Application Process

Interested candidates should submit their resume and cover letters detailing their relevant experience and interest in the position. Please note that only shortlisted candidates will be contacted.

Santander Consumer Bank is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Benefits:

• Dental care
• Disability insurance
• Extended health care
• Vision care

Ability to commute/relocate:

• Edmonton, AB T6E 5Y7: reliably commute or plan to relocate before starting work (preferred)

Education:

• Bachelor's Degree (preferred)

Experience:

• financial modelling, risk management, data analytics?: 3 years (required)

Location:

• Edmonton, AB T6E 5Y7 (preferred)

Work Location: In person