TD Bank
Manager, Quantitative Analytics (US) , Retail Model Validation, Model Risk Manag
TD Bank, Charlotte, North Carolina, United States, 28245
Work Location:
United States of America
Hours:
40
Pay Details:
$86,840 - $139,360 USD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions. The base pay actually offered may vary based upon candidate's skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs.
Line of Business:
Risk Management
Job Description:
The manager, Quantitative Analytics leads a specialized team of Quantitative Strategist professionals and specialists. This role is also a high-level expert on models and provides guidance to the team as needed in developing pricing models for a variety of asset classes.
Department Overview:
The Retail Model Validation (MV) group is part of the Model Risk Management function within the Bank. The Retail model validation team is responsible for the validation and approval of Retail capital, allowance and stress testing models, credit risk scorecard models, Pre-Provision Net Revenue models for TD's Retail portfolios, Enterprise Anti-Money Laundering models, and models used to support TD's retail business including marketing and personal banking analytics models.
Responsibilities:
Independently lead and execute AML model validation projects including development of testing strategy, communication and escalation of validation issues, prepare and finalize the model validation review reports. Recommend the approval of the models or other corrective actions based on the independent validation.
Support development and maintenance of the AML model validation standards and procedures that are compliant with the Bank’s internal Model Risk Policy, adhere with industry best practices, and meet regulatory requirements.
Work effectively with internal partners to ensure AML models meet required Bank standards for use and proactively identify, manage, and work with relevant stakeholders to resolve the model risk related issues.
Keep up with changes in the AML regulatory requirements and the emerging risks/practices in managing AML models and validations.
Support requests from regulators, internal and external audit related to AML models and the associated validation process and procedures.
Maintain full professional knowledge of techniques and developments in the field of AML modelling and validation processes.
Education & Experience:
Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
7+ years relevant experience
Ability to analyze complex information and develop plans to address identified issues
Ability to establish goals and objectives that support the strategic plan
Demonstrated skills in conflict resolution, strong intuitive judgment and negotiation/influencing skills, flexibility and adaptability to changing priorities in a fast-paced environment, along with a strong consultative approach
Skill in collecting, organizing and analyzing complex or technical data
Skill in using logic and reasoning to identify the strengths and weaknesses of alternative situations, conclusions or approaches to problems
Ability to determine which issues to escalate versus to resolve independently, and provide suggestions for possible resolution
Preferred Qualification:
Strong statistical background and excellent analytical and problem-solving skills with a graduate degree in one or more of the following areas: statistics, economics, mathematics, actuarial sciences, mathematical finance.
Knowledge in AML program including transaction monitoring, KYC, sanctions and related regulatory requirements. Work experience in AML functions is considered an asset.
Expertise (4+ years) in AML model development or validation.
Experience in interacting with regulators/auditors is considered an asset.
Excellence in communication including verbal and writing.
Proficient in relevant programming languages such as Python, R, SAS and/or Matlab.
Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
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United States of America
Hours:
40
Pay Details:
$86,840 - $139,360 USD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions. The base pay actually offered may vary based upon candidate's skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs.
Line of Business:
Risk Management
Job Description:
The manager, Quantitative Analytics leads a specialized team of Quantitative Strategist professionals and specialists. This role is also a high-level expert on models and provides guidance to the team as needed in developing pricing models for a variety of asset classes.
Department Overview:
The Retail Model Validation (MV) group is part of the Model Risk Management function within the Bank. The Retail model validation team is responsible for the validation and approval of Retail capital, allowance and stress testing models, credit risk scorecard models, Pre-Provision Net Revenue models for TD's Retail portfolios, Enterprise Anti-Money Laundering models, and models used to support TD's retail business including marketing and personal banking analytics models.
Responsibilities:
Independently lead and execute AML model validation projects including development of testing strategy, communication and escalation of validation issues, prepare and finalize the model validation review reports. Recommend the approval of the models or other corrective actions based on the independent validation.
Support development and maintenance of the AML model validation standards and procedures that are compliant with the Bank’s internal Model Risk Policy, adhere with industry best practices, and meet regulatory requirements.
Work effectively with internal partners to ensure AML models meet required Bank standards for use and proactively identify, manage, and work with relevant stakeholders to resolve the model risk related issues.
Keep up with changes in the AML regulatory requirements and the emerging risks/practices in managing AML models and validations.
Support requests from regulators, internal and external audit related to AML models and the associated validation process and procedures.
Maintain full professional knowledge of techniques and developments in the field of AML modelling and validation processes.
Education & Experience:
Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
7+ years relevant experience
Ability to analyze complex information and develop plans to address identified issues
Ability to establish goals and objectives that support the strategic plan
Demonstrated skills in conflict resolution, strong intuitive judgment and negotiation/influencing skills, flexibility and adaptability to changing priorities in a fast-paced environment, along with a strong consultative approach
Skill in collecting, organizing and analyzing complex or technical data
Skill in using logic and reasoning to identify the strengths and weaknesses of alternative situations, conclusions or approaches to problems
Ability to determine which issues to escalate versus to resolve independently, and provide suggestions for possible resolution
Preferred Qualification:
Strong statistical background and excellent analytical and problem-solving skills with a graduate degree in one or more of the following areas: statistics, economics, mathematics, actuarial sciences, mathematical finance.
Knowledge in AML program including transaction monitoring, KYC, sanctions and related regulatory requirements. Work experience in AML functions is considered an asset.
Expertise (4+ years) in AML model development or validation.
Experience in interacting with regulators/auditors is considered an asset.
Excellence in communication including verbal and writing.
Proficient in relevant programming languages such as Python, R, SAS and/or Matlab.
Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
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