Manager – Advanced Analytics – Quants

Manager – Advanced Analytics – Quants

Requirements

• 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
• Skill in active learning by understanding the implications of new information for both current and future problem solving and decision making
• Skill in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions
• Skill in decision making by considering relative costs and benefits of potential actions and choosing the most appropriate option
• Ability to determine which issues to escalate versus to resolve independently, and provide suggestions for possible resolution
• Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events)
• Ability to evaluate documents for accuracy and legal conformance
• Ability to anticipate and diffuse problems before they occur
• Ability to conduct short-range and long-range business planning
• Ability to develop objectives, evaluate effectiveness and assess needs
• Ability to recognize, analyze and solve a variety of problems
• Ability to identify problems, evaluate alternatives and implement effective solutions
• Ability to implement new systems and procedures and to evaluate their effectiveness
• Ability to problem solve a variety of situations
• Ability to contribute to strategic direction of the function and provide advice to senior leadership
• Ability to think strategically and possess strong business acumen

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.

Preferred Qualifications

• 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.