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Sr. Analyst, AML Model Developer

Sr. Analyst, AML Model Developer

Country: United States of America

The Sr. Analyst, AML Model Developer 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.

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.

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 at any time for any reason.

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
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Average salary estimate

$103750 / YEARLY (est.)
min
max
$67500K
$140000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Analyst, AML Model Developer, Santander

Are you ready to take your career to the next level as a Sr. Analyst, AML Model Developer with Santander in Boston? In this role, you will be at the forefront of minimizing compliance and AML risk for the company. You will engage in quantitative analysis and risk identification, ensuring all company activities adhere to regulatory standards. If you have a knack for managing model risk related to anti-money laundering, this position is designed for you. Collaborating closely with various teams, you’ll support the development, validation, and governance of AML models, driving compliance and improving performance. You’ll get hands-on with SQL, SAS, Python, and ETL, analyzing vital data and crafting reporting solutions that highlight crucial trends and findings. With a focus on compliance, you'll help implement and maintain model risk policies, ensuring adherence to all necessary regulations. Your expertise will contribute to the overall efficiency of financial crime models, playing a pivotal role in the company’s risk management strategies. If you possess strong analytical skills, a solid foundation in financial data manipulation, and the ability to translate complex information clearly, then we want to hear from you. This is not just a job; this is an opportunity to make a real impact in an organization that values diversity and innovation. Join us and help shape the future of AML model development at Santander!

Frequently Asked Questions (FAQs) for Sr. Analyst, AML Model Developer Role at Santander
What are the main responsibilities of a Sr. Analyst, AML Model Developer at Santander?

As a Sr. Analyst, AML Model Developer at Santander, you will monitor and analyze compliance and AML risks, ensure adherence to regulatory requirements, and support model risk management. Key responsibilities include developing and validating AML models, conducting analytical research to support the compliance department, and leveraging various tools like SQL, Python, and SAS to analyze data efficiently.

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What qualifications are needed to apply for the Sr. Analyst, AML Model Developer position at Santander?

To qualify for the Sr. Analyst, AML Model Developer position at Santander, candidates should hold a Bachelor's degree in Statistics, Mathematics, Economics, or a related field. Additionally, having over 3 years of experience in Risk Management and AML, along with strong skills in statistical methods and programming languages like Python and SAS, is essential.

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What skills are essential for a Sr. Analyst, AML Model Developer at Santander?

Essential skills for the Sr. Analyst, AML Model Developer position at Santander include strong quantitative and analytical capabilities, proficiency in data querying languages, and experience with statistical methods. The role also demands excellent communication skills, problem-solving abilities, and a collaborative mindset to foster relationships within the team and across the company.

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How does the Sr. Analyst, AML Model Developer contribute to company compliance at Santander?

The Sr. Analyst, AML Model Developer at Santander plays a critical role in maintaining compliance by ensuring that all activities meet legal regulations and company standards. This includes developing and validating models that adhere to regulatory requirements and executing action plans that mitigate risks associated with financial crimes.

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What tools and technologies will a Sr. Analyst, AML Model Developer work with at Santander?

In the role of Sr. Analyst, AML Model Developer at Santander, you will work with a range of tools and technologies including SQL, SAS, Python, and ETL processes. These technologies will be essential in performing data analyses, developing reporting solutions, and enhancing the overall performance of AML models.

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Common Interview Questions for Sr. Analyst, AML Model Developer
Can you explain your experience with AML model development?

When answering this question, explain the specific models you have developed, the techniques and tools used, and the outcomes of your work. Ensure to highlight your collaborative approach and how your contributions aligned with compliance requirements.

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How do you approach risk assessment in AML modeling?

For this question, discuss your methodology in identifying and evaluating risk factors in AML models. Share specific frameworks you utilize and how you've applied data analysis to inform your risk assessments effectively.

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What statistical methods do you find most effective in AML model validation?

Discuss various statistical methods, such as regression analysis or risk scoring models, that you've used in validating AML models. Be sure to explain how these methods help ascertain model effectiveness and compliance.

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How do you ensure compliance with regulations in your AML models?

Explain your process for aligning model development and validation with regulatory standards. Include examples of how you stay updated with industry regulations and ensure your work meets legal requirements.

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Can you describe a challenging project you've worked on related to AML?

Share a specific instance where you faced challenges, detailing how you approached the problem, the actions you took, and the successful outcomes. This demonstrates your problem-solving skills and resilience.

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What tools or technologies have you used for data analysis in AML modeling?

Be specific about your hands-on experience with tools like SQL, SAS, Python, or any other software for data analysis and modeling. Highlight projects where these tools played a crucial role in improving model efficiency.

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How do you prioritize tasks when working on multiple AML models?

Discuss your time management strategies and how you assess the urgency and impact of various tasks. This shows your organizational skills and ability to handle competing priorities.

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What role do you believe communication plays in AML model development?

Emphasize the importance of clear communication in AML model development. Share examples of how you've collaborated with team members and stakeholders to ensure alignment and foster understanding of complex models.

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How do you keep up with industry trends in AML compliance?

Discuss your methods for staying informed, such as following industry publications, attending webinars, or participating in professional networks. This indicates your commitment to continuous learning and industry engagement.

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What do you consider the most critical skills for a Sr. Analyst, AML Model Developer?

Highlight key skills directly relevant to the position, such as analytical abilities, proficiency in data analysis tools, problem-solving capabilities, and effective communication. Tailor your response to align with the job description of Senior Analyst, AML Model Developer at Santander.

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Our goal is simple: to be the bank of choice in each of our diversified markets. We recognize that to be a leader, we must hire leaders. Our teams consist of the best and brightest, the type of people that embrace challenge and work to excel bey...

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