About this role
Finance Analytics - Analyst
Country: United States of America
It Starts With You:
Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.
If you are interested in exploring the possibilities We Want to Talk to You!
The Difference You Make:
Finance Analytics team within SC’s Auto Finance division is a team consisting of quantitative finance professionals providing analytical support for SC’s vast Treasury, Capital Markets, Originations, Auto Dealership Management, and Accounting functions. Key responsibilities of the team include analytical support for structured finance issuance, asset sale transactions, daily loan and lease warehouse maintenance, optimization of assets for sale, valuation of assets and liabilities, producing monthly and quarterly accounting reports, occasional accounting reconciliations, accounting audit support, creation of cash flow models, performance monitoring of over $50 billion of loans and leases, and dealer network analytics for over fourteen thousand auto dealerships with business relationships with Santander.
The Analyst within the Finance Analytics team shall be exposed to a diverse array of analytics pertaining to the above responsibilities of the team. Given the vastness of the analytical responsibilities of the team, the Analyst pool will be rotated through essential job functions of the team to get a broad exposure to the overall Finance analytics divided primarily across capital markets, treasury, dealer management, and accounting operations.
Essential Job Functions:
• Support creation and maintenance of statistical portfolio optimization tools and cash flow modeling
• Performance monitoring (default, prepayment, recovery, etc.) of automobile loan, lease pools, and dealer relationships
• Perform valuation analysis of loan and lease collateral using Intex, Bloomberg and other proprietary models
• Support automated accounting reports creation and reconciliation; and support accounting Audit and month-end/quarter-end audit/close activities
• Maintain Loan and Lease inventory management infrastructure from the standpoint of capital markets operations
• Execute removal/addition of loan/leases to finance transactions on a regular basis maintaining contractual agreements with several banks
• Write and edit queries in SQL/Python for gathering large data sets for analysis, internal presentation, and external reports distribution
• Assists with investor relations activities associated with the capital markets and asset management platforms, explaining loan collateral related issues
• Produce/automate and maintain excel spreadsheet models/tools for repeatable tasks Create and write stored procedures, views, tables, DTS packages in Microsoft SQL
• Work with data visualization tools like Power BI, Excel, and create Python based dashboards
Other Functions:
• Carry out special projects as requested by management to address on-going automation initiatives, audit requests, and regulator queries
What You Bring:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education:
• Bachelor’s in Quantitative Finance, MIS, Statistics, Business Analytics, Computer Science, Mathematics, or Engineering - Required.
• Master's in Quantitative Finance, MIS, Statistics, Business Analytics, Computer Science, Mathematics, or Engineering - Preferred.
Qualifications:
• Formal training in at least one major programming language is required
• Strong existing knowledge of Microsoft Excel is required
• Data visualization skills using PowerBI/Python preferred
• SQL experience preferably in Microsoft SQL Server / Snowflake preferred
• Familiarity or exposure to complex financial modeling techniques preferred
• Ability to maintain confidentiality
• Ability to work in fast moving environment under strict deadlines required
It Would Be Nice For You To Have:
• Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
Work Authorization & Sponsorship:
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.
What Else You Need To Know:
The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.
Base Pay Range:
Minimum:
$49,500.00 USD Maximum:
$78,000.00 USD
We Value Your Impact:
Your contribution matters and it’s recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide (foleon.com)
Risk Culture:
We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
EEO Statement:
At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employe
Description from Santander's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.
