Senior Manager, Quantitative Analytics- Model Development

TD•Wilmington, DE

22h

About The Position

The Senior Manager, Quantitative Analytics 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. The Senior Manager, Quantitative Analytics also leads the advanced quantitative models' development to meet business requirements. 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.

Requirements

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
6+ 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
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
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
Experience with CCAR/ DFAST models and stress testing process
Management skills and experience
Advanced skills in SAS and SQL
Advanced level in statistical analysis and modeling tools

Nice To Haves

Graduate degree in quantitative discipline (e.g., Statistics, Economics, Mathematics, Engineering, or related field).
Extensive experience in developing quantitative models.
PPNR modeling experience for stress testing is plus.
Demonstrated experience managing team and developing people.
Strong hands-on expertise with SAS, Python, and/or R.
Deep knowledge in banking business and familiar with the banking industry data.
Proven ability to communicate complex technical concepts to business partners, senior leadership, and regulators.
Proven experience working effectively in cross functional environments, collaborating across business, risk, technology, and compliance teams.

Responsibilities

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
Provides financial, analytical, modeling expertise to build quantitative models for Business projects
Conducts complex quantitative analysis as it applies to areas of responsibility such as a specific model, or portfolio / business line
Performs statistical model assumptions tests for soundness of theory
Hands on modeling during the entire life-cycle
Reviews model results and assists in the identification of unexpected results
Provides training and mentoring for new and less experienced staff
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
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)
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
Manages the development of conclusions and courses of action to rectify discrepancies as well as analyses to be presented to management for aid in decision-making processes
May lead additional research efforts, applying expertise in statistical analysis and modeling

Benefits

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.

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