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Quantitative Analyst II
2 months ago
General Information
Reference Number: 18125
Remote Work: No
About Ally and Your Career
At Ally Financial, we believe that our success is directly tied to the well-being of our employees. We prioritize a culture that values individuals as unique contributors with diverse backgrounds, interests, and aspirations. Our commitment to work-life balance, safety, and inclusivity is reflected in our comprehensive benefits and employee resource groups. We are dedicated to fostering an environment where you can thrive, grow, and continuously evolve in your career.
The Opportunity
This position is based in our CLT office with a hybrid work schedule that includes both in-office and remote work.
The Analyst II will be a key player in Ally's Model Risk Management team, reporting to the Model Validation Director and focusing on the validation of Qualified Analytical Tools (QATs). These tools are essential for various critical functions within Ally, including regulatory reporting, forecasting, risk assessment, and strategy development. The Analyst II will ensure the accuracy and relevance of QAT validation reports, identify issues, and collaborate with business lines to promote best practices.
The Work Itself
The following outlines the primary responsibilities of this role. Additional tasks may be assigned as necessary:
- Conduct independent reviews of QATs to evaluate their suitability for intended purposes, including assessing constructs, assumptions, data integrity, and overall functionality.
- Document all review processes thoroughly through formal reports and maintain comprehensive workpapers.
- Prepare high-quality QAT validation reports that are clear, accurate, and concise.
- Identify and document findings within QATs, and assess the effectiveness of remediation efforts.
- Respond to ad hoc analysis requests from Model Governance and other internal teams.
- Collaborate with various teams to identify opportunities for enhancing Model Risk Management practices.
- Drive efficiency in reporting through the implementation of technology-driven automation and well-structured processes.
- Contribute to risk identification and quantification analysis and reporting.
- Continuously enhance expertise in analytical methods and tools through self-directed learning.
The Skills You Bring
A Bachelor's degree in Finance, Economics, Accounting, Statistics, Mathematics, Information Systems, Computer Science, or a related field is required.
A minimum of 1 year of experience (2-4 years preferred) in banking or financial services, with a focus on areas such as forecasting, risk management, or analytics.
Proficiency in Microsoft Office Excel (including VBA) and experience with data visualization tools like Power BI.
Experience with programming languages such as SQL, Python, or R is essential.
Ability to work with large datasets and produce accurate documentation and reports.
Strong analytical and problem-solving skills, with a keen attention to detail.
Excellent communication skills, both written and verbal, along with strong organizational abilities.
Experience in Model Risk Management validations and testing methodologies is preferred.
Progress towards relevant certifications (e.g., CPA, CFA, FRM) is a plus.
How We'll Support You
Ally offers a competitive compensation package that includes base pay and performance-based incentives. Our total rewards program encompasses:
- Generous time-off policies, including holidays and flexible paid time off.
- Robust retirement savings plans with matching contributions and educational assistance programs.
- Comprehensive health and wellness benefits, including insurance options and wellness programs.
- Support for family-building initiatives and work-life integration.
Who We Are
Ally Financial is a leading digital financial services company committed to providing exceptional customer service and innovative solutions. We strive to be a trusted partner for our clients across various sectors.
Ally is an equal opportunity employer dedicated to fostering diversity and inclusion in the workplace. All qualified applicants will be considered for employment without regard to any protected status.