Lead Data Scientist (III), Fraud Model Validation

Mt Laurel - Operations Center Bldg 1 - 9000 Atrium Way

TD

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Work Location:

United States of America

Hours:

40

Pay Details:

$141,960 - $230,880 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. As TD puts career development at the forefront of our colleague experience, it is not typical for an individual to be hired at or near the top of the range for their role.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Risk Management

Job Description:

The Senior Manager, Quantitative Analytics Lead leads the advanced quantitative models' development to meet business requirements and oversees and lead a team of Quantitative Strategist professionals focused on the most complex set of pricing models.  This role is also considered an organizational expert on quantitative models in a wide range of asset classes and provides guidance to the team and others as needed.  This role provides interpretation through in-depth understanding of the models and business. This job provides forecasts and financial plans to drive business results, strategy and decisions.

The Model Validation (MV) group is a centralized Model Risk Management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Artificial Intelligence / Machine Learning (AI/ML) Model Validation team within MV is responsible for the review/vetting and approval of AI/ML models developed and used across the enterprise (e.g., Fraud, Retail Credit Risk, Marketing, NLP, TD Wealth, TD Asset Management, Treasury Balance Sheet Management, TD Insurance). By ensuring an objective and independent evaluation of models, the Model Validation function is critical to the effective measurement and management of model risk across the TD Bank Group.
The position reports to AVP, AI/ML Model Validation group. Detailed accountabilities include:
•    Lead a team of Machine Learning and Data Scientists to perform validation of all Fraud and Cyber Security models deemed in-scope by the bank-wide Model Risk Policy. 
•    Recommend the approval of models or other corrective actions based on the independent validation.
o    Lead and support a team of model validators.
o    Ensure performance objectives are set for all staff and that performance feedback is provided on a regular basis.
o    Communicate group objectives and strategies and align group activities in support of business objectives.
•    Support employee development activities, coach and support direct reports in meeting their personal development objectives.
•    Assume a leadership role in developing standards and procedures for vetting and validation Fraud and Cyber Security models that are compliant with the Bank’s internal Model Risk Policy, adhere with industry and academic best practices, and meet regulatory requirements.
•    Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of models and vetting/validation process and procedures. Provide information and assistance as required.
•    Work effectively with internal Model Development groups, Audit, and other internal partners to ensure models meet required Bank standards for use.
•    Play a key role in ensuring the appropriate use of Fraud and Cyber Security models. Identify the need to implement new models/techniques as industry standards evolve and regulatory requirements change.
•    Maintain full professional knowledge of techniques and developments in the field of AI/ML, Fraud and CyberSecurity; and share knowledge with business partners and senior management. Provide subject matter expertise to business units on AI/ML Fraud and Cyber Security modeling and validation.
*Job Requirements 
•    Advanced quantitative and AI / ML skills with post-secondary degree in one or more of the following areas: Machine Learning, AI, Computer Science, Engineering, Software Engineering, Statistics, Mathematics and etc. 
•    8+ years of experience in either developing or validating Fraud / Cyber Security models; and 4+ years of experience in leading a small team of data scientists.
•    In-depth knowledge of fraud risk management and detection of different types of fraud attacks.
•    In-depth knowledge of AI / Machine Learning techniques, concepts and theory; Statistical/probability theory and applications. Understanding of weaknesses and limitation of popular ML modeling approaches.
•    Deep knowledge of popular tabular ML algorithms such as XGBoost/LightGBM, Random Forest, and etc. 
•    Expertise in traditional statistical modeling approaches such as linear/logistic regression.
•    In-depth knowledge of AI/ML Explainability/Interpretability concepts, tools and techniques
•    Ability to research and implement Machine Learning algorithms from academic research papers is a plus.
•    Proficient in relevant programming languages such as Python, PySpark, SQL. Experience with Microsoft Azure cloud infrastructure, Databricks is an asset. 
•    Object Oriented Programming, GIT, MLOps / Dev.Ops; Experience maintaining an ML library is a plus.
•    Excellent verbal and written communication skills; and stakeholder management abilities (position requires writing and reviewing reports of technical nature). 
•    Strong critical and analytic thinking skills.
•    Excellent time / project management and multitasking skills with minimal supervision.
•    Stay up to date with the latest advancements in Fraud risk management, data science, machine learning, and AI.

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Depth & Scope:

  • Provides people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required
  • Leads a team and provides leadership, coaching, counseling and guidance to staff
  • Provides financial, analytical, modeling expertise to build quantitative models for DFAST and CCAR projects
  • Leads and designs the development of model structure
  • Conducts complex quantitative analysis as it applies to areas of responsibility such as key business areas or specific types of models at a high level of complexity and risk
  • Hands on modeling during the entire life-cycle
  • Reviews model results and provides model insights
  • Prepares model documentation per request from internal MVM and external regulators
  • Provides support materials and follows up analysis to address model questions
  • Develops, assigns and monitors plans to ensure completion of goals and objectives
  • Gathers and reports on financial results vs. plans on an ongoing basis, providing evaluation and interpretation through an in-depth understanding of the business
  • Develops and maintains strong business relationships with business line management
  • Resolves issues and problems by conferring with staff, other internal departments, outside contacts and others as necessary
  • Develops and maintains strong business relationships with business line management
  • Oversee and lead a large and/or highly complex and diverse reporting function for an area of significant risk, complexity or scope while growing talent, developing skills and capabilities to achieve career goals, support project / initiative success and achieve business results
  • Provides coaching, mentorship and guidance to practitioners, business, executives within area of expertise
  • Manages and oversees the overall discipline and strategy for the respective areas while aligning to the enterprise best practices
  • Provides coaching, mentorship and guidance to practitioners, business, executives within area of expertise
  • Strategic advisor to leadership team on the management of the portfolio and financials, with deep industry, external / internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management / enterprise areas
  • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/ frameworks/ short to long term goals etc.)
  • Set operational team direction and collaborate with others to execute on common goals
  • Focus on longer-range planning for functional area (e.g. 12 months or greater)
  • Leads additional research efforts, applying expertise in statistical analysis and modeling

Education & Experience:

  • Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree or progressive work experience in addition to experience below
  • 10+ years relevant experience
  • 8+ years modeling experience required
  • Proven interpersonal and consultative communication skills with well-developed presentation skills
  • Demonstrated ability to successfully plan, develop, lead, and execute projects
  • Proven ability to effectively interpret, select appropriate techniques, take independent action, communicate, and follow-through
  • Proven ability to manage competing priorities effectively, making good decisions based on business priorities and objectives
  • Comprehensive practical knowledge of quantitative forecasting models, financial analysis techniques and methodologies
  • Ability to guide businesses to achieve financial goals
  • Proven ability to employ complex analytical tools and statistics to perform analysis and forecasting of financial and other business information
  • Proficiently use Microsoft Office tools to prepare and present analysis results to the audience
  • Ability to exercise sound judgment in making decisions
  • 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 acumenStrong management skills and experience
  • Advanced skills in SAS and SQL
  • Advanced level in statistical analysis and modeling tools

Customer Accountabilities:

  • Understands and supports the Banks Customer Service Strategy
  • Considers the impact of advice and decisions on the well-being of the Bank, as well as its customers, its employees and stakeholders
  • Provides the highest level of Customer service when dealing with internal partners, vendors or our Customers - WOW at every opportunity
  • Leads, coaches and models quality service delivery at every interaction
  • Supports the ongoing improvement of the partner/Customer experience
  • Leads a highly specialized team and provides leadership and coaching on the most complex enterprise models and projects
  • Provides financial, analytical and quantitative modeling expertise to the team building quantitative models and other projects
  • Leads the development of model structure for the assigned business(s) or function(s)
  • Conducts complex quantitative analysis as it applies to areas of responsibility such as key business areas or specific types of models at the highest level of complexity and risk
  • Leads the review of model results and provides model insights/guidance to the team
  • Oversees model documentation per request from internal partners and external regulators cascade support materials and follow up analysis to address model questions
  • Develops, assigns and monitors plans to ensure completion of goals and objectives
  • Develops and maintains strong business relationships with business line management and senior leaders
  • Leads additional research efforts, applying expertise in quantitative analysis and modeling
  • Performs analysis of model risk and valuation calculations as applied to current markets, explain and validate results with trading management, and justify or remediate any observed anomalies
  • Provides training and mentoring for new and less experienced staff
  • Assists in the development, forecasting, and analysis of potential responses to regulatory inquiry related to models

Shareholder Accountabilities:

  • Works closely with key business leaders to develop business plan, ensuring the optimal use of resources and leverage TD’s operating model to maximize efficiency, effectiveness and scale
  • Plan and execute on strategic activities, review and communicate results, and adjust tactics accordingly
  • Executes on the annual business plan to deliver results aligned with business strategies
  • Manages overall budget, revenue and expenditures, meet business objectives while increasing efficiency and effectiveness
  • Proactively identifies key business opportunities, research and recommend enhancements / modifications, develop strategies to achieve recommendations and work closely with team to execute and implement
  • Monitors and communicate the effectiveness of strategies, programs, and practices related to own area of expertise
  • Protects the interests of the organization – identify and manage risks, and escalate non-standard, high risk transactions / activities as necessary
  • Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
  • Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite
  • Ensures employees are knowledgeable; and assume responsibility to minimize operational and regulatory risk by complying with Bank and industry Code of Conduct

Employee/Team Accountabilities:

  • Sets appropriate context for the business unit/function to enable optimal performance and alignment to strategy
  • Supports the creation of goals and objectives for the business unit/function as well as communicate those goals and objectives to the team
  • Build capability support / execute plans to acquire, develop and retain the diverse teams with the skills and experience necessary to realize on current and future business strategies
  • Role model behaviors consistent with TD's leadership profile, customer and employee experience agendas and risk and control culture
  • Creates an extraordinary place to work advance and sustain a unique, inclusive culture that reflects TD's diversity agenda, and creates an extraordinary employee experience
  • Leads, coaches and develops a highly effective team by ensuring on-going training and performance and development management
  • Contributes to the development of business segment and/or enterprise functional strategic priorities within their operational area or field of specialty
  • Develops annual and/or long-term plans for own area and influences plans well beyond area managed
  • Responsible for management of the overall team providing both leadership and guidance
  • Sets targets and objectives for the team, and deliver results
  • Grows team expertise to align with business/enterprise demand and direction; assess team skills and capabilities and continually look for ways to provide and enhance the value delivered
  • Leads a high performing team; provide on-going feedback and performance reviews, coach and develop employees and ensure performance management activities are undertaken and provide regular input into employee assessments and development plans
  • Leads the process of setting performance objectives for the team; track, monitor and effectively address and/or reward performance in a timely manner
  • Manages employees in compliance with all human resources policies, procedures and guidelines of conduct
  • Shares knowledge, information, skills, and subject matter expertise among the team and ensure the timely communication of issues and encourage good working relationships with other functions and teams
  • Supports an environment where team freely escalates business challenges; facilitate change through positive reinforcement of milestones and successes
  • Recruits for all hires to ensure a highly diverse, qualified workforce to achieve business objectives
  • Establishes and fosters a cohesive team; promote a fair and equitable environment that supports a diverse workforce and encourage the team to achieve common goals and objectives
  • Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

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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. 

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package


Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

If you are an applicant with a disability and need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you, and the accommodation needed to assist you with the application process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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Tags: Azure Banking Computer Science Credit risk CX Databricks Engineering Finance Fraud risk Git LightGBM Machine Learning Mathematics ML models MLOps NLP Physics Probability theory PySpark Python Research SAS Security SQL Statistical modeling Statistics XGBoost

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Home office stipend Insurance Team events

Region: North America
Country: United States

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