Santander Logo

Santander

Sr. Analyst, Compliance - AML Modeling

Sorry, this job was removed at 08:13 p.m. (EST) on Friday, May 30, 2025
Be an Early Applicant
3 Locations
68K-140K Annually
3 Locations
68K-140K Annually

Similar Jobs

5 Hours Ago
Remote
Hybrid
Austin, TX, USA
Mid level
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Senior Customer References Associate coordinates customer references across sales and marketing, ensuring engagement and impactful integration into campaigns.
Top Skills: Ai-Powered ToolsAutomation Tools
5 Hours Ago
Remote
Hybrid
Dallas, TX, USA
125K-150K Annually
Junior
125K-150K Annually
Junior
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The Enterprise Acquisition Account Executive is responsible for driving new business growth in an enterprise territory, managing prospects, fostering relationships, and navigating complex sales cycles.
Top Skills: Application Performance MonitoringCloud-Native Application DevelopmentDevsecopsSaaS
9 Hours Ago
Remote
Hybrid
64 Locations
84K-202K Annually
Senior level
84K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Associate, you will implement and optimize Oracle applications, lead teams, and ensure project deliverables align with client needs while fostering innovation and providing direction to staff.
Top Skills: FricewOracle Cc&BOracle EbsOracle FusionOracle HyperionOracle PeoplesoftOracle Siebel
Sr. Analyst, Compliance - AML Modeling

Country: United States of America

Your Journey Starts Here:

Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success.

An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You!

The Sr. Analyst, AML Models - Compliance monitors activities to minimize the company's exposure to Compliance and AML risk. Activities may include quantitative analysis, risk identification and remediation. Represents or supports the reputation of the company to minimize compliance and regulatory risk by resolving issues and ensuring adherence to company and legal standards. Responsible for ensuring that all of the company's activities adhere to the necessary rules and regulations, and that the company complies with legal/regulatory statutes and jurisdictions.

The ideal candidate will play a key role in managing and mitigating model risk related to anti-money laundering (AML) models. You will work closely with the model development, validation, and governance teams to ensure models adhere to regulatory standards and address Model Risk Management Group (MRMG) findings. Supports ongoing compliance with applicable regulations, driving the execution of action plans to mitigate risks and improve model performance. Monitors and manages risk/exposure and by adhering to company's policies. Identifies, manages and reports on the company's risk areas. Evaluates the adequacy and effectiveness of data, model, and monitors systems.

Responsibility:

  • Supports the AML and Model Risk Management teams to establish and leverage appropriate systems and processes to develop, validate, and maintain optimal efficiency and effectiveness of financial crime models. 
  • Work closely with business stakeholders to provide detailed model documentation, including validation reports, assumptions, limitations, and compliance metrics.  Assess model health within a given framework using statistical methods, evaluation of assumptions, and drive timely remediation efforts.
  • Maintain and execute inquiries with SQL, SAS, Python and ETL to perform analyses of the underlying data in our systems and highlight trends, issues, and findings. Develop reporting solutions, including designing stored procedures, view queries, and tables.
  • Assist in the development and maintenance of model risk and model policies, guidelines, validation and development procedures, controls, tools and templates.
  • Ensure that all the company’s activities adhere to the necessary rules and regulations, and that the company complies with legal/regulatory statutes and jurisdictions and provide requisite information in support of independent audit activities.
  • Perform analytical research in support of the Compliance Department, with a strong focus on AML/BSA, including the design, development, and implementation of information-based business solutions.
  • Assists senior level staff and management as requested.
  • Performs other duties and responsibilities as assigned.

Qualifications:

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 Degree or equivalent work experience: Statistics, Mathematics, Economics or equivalent quantitative discipline.
  • Master's Degree Statistics, Mathematics, Economics or equivalent quantitative discipline.

Work Experience:

  • 3+ Years Risk Management, Risk Modeling, AML
  • 2+ of those years Analytics or Modeling

Licenses / Certification:

  • Preferred: Python, MS 360, SAS, Oracle, or similar

Skills and Abilities:

  • Demonstrated practical and theoretical knowledge of financial data, their structure and behavior in various environments.
  • Demonstrated knowledge of data querying languages and software.
  • Strong experience in Python, SAS, SQL, statistical methods and model development in cloud environments. Experience in scheduling and automation tools is a big plus.
  • Strong quantitative capabilities and analytical skills, including an investigative mindset.
  • Strong problem solving and critical thinking skills.
  • Strong verbal and written communication skills.
  • Ability to build and foster internal relationships.
  • Strong organizational and time management skills.
  • Ability to analyze risk and provide recommendations and/or resolutions to minimize risk.
  • Ability to summarize, document, and communicate information in a clear and concise manner.
  • Ability to organize and prioritize multiple tasks to meet deadlines.
  • Ability to work independently as well as collaboratively within a team environment.
  • Ability to interpret, analyze and apply data/information.
  • Ability to stay abreast of industry best practices, procedures, and techniques.
  • Ability to change direction as project demand dictates.
  • Ability to effectively and clearly communicate instructions to others, summarize and articulate issues, and document findings in a clear and concise manner..

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:

$67,500.00 USD

Maximum:

$140,000.00 USD

Benefits:

Santander Benefits - 2025 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 employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.
Working Conditions:

Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.
Employer Rights:

This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.

What To Do Next:

If this sounds like a role you are interested in, then please apply.

We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at [email protected] to discuss your needs.

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account