Sr Mgr Advanced Analytics (US)

TD Description

About TD Bank, America's Most Convenient Bank®

TD Bank, America's Most Convenient Bank, is one of the 10 largest banks in the U.S., providing more than 8 million customers with a full range of retail, small business and commercial banking products and services at approximately 1,300 convenient locations throughout the Northeast, Mid-Atlantic, Metro D.C., the Carolinas and Florida. In addition, TD Bank and its subsidiaries offer customized private banking and wealth management services through TD Wealth®, and vehicle financing and dealer commercial services through TD Auto Finance. TD Bank is headquartered in Cherry Hill, N.J. To learn more, visit www.tdbank.com. Find TD Bank on Facebook at www.facebook.com/TDBank and on Twitter at www.twitter.com/TDBank_US.

TD Bank, America's Most Convenient Bank, is a member of TD Bank Group and a subsidiary of The Toronto-Dominion Bank of Toronto, Canada, a top 10 financial services company in North America. The Toronto-Dominion Bank trades on the New York and Toronto stock exchanges under the ticker symbol "TD". To learn more, visit www.td.com.

Job Description

The incumbent builds, coaches and leads a team of data scientists who develop predictive and prescriptive analytics for a variety of strategic business challenges in consumer, commercial and share services at TD Bank. The incumbent will be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records. The incumbent oversees the development of statistical and machine learning models, data mining and advanced analytic solutions, and facilitates key strategic discussions and provide thought leadership to executive audience.

Job Accountability:

Leading end-to-end project delivery for large scale and cross-functional advanced analytics projects leveraging advanced technologies (Python, SQL, Java, Cortex, PySpark, ArcPro, Distributed Computing,) and methods (advanced statistics, advanced mathematics, machine learning, geospatial analytics, Storytelling & visualization). Engaging and communicating with senior executives, and business partners from the start and through the journey, crafting and articulating the business problems from a technical/quantitative definition and facilitate key strategic discussions and provide thought leadership.
Lead and oversee building best-in-class complex statistical and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Lead effective interaction with Model Risk Governance(MRGM) and Compliance(CAP) partners in order to successfully go through approval and validation process in a timely manner.
Ensure that the model/project solves the desired business problem, is moved to production efficiently, and is deployed for maximum value and work with downstream teams as a model expert, integrating the model output to maximum effectiveness (e.g. in marketing campaigns/call-priority/network tactics etc.).
Provide coaching, training, and troubleshooting to junior data scientists on technologies (Python, SQL, Java, Cortex, PySpark, ArcPro, Distributed Computing,), methods (advanced statistics, advanced mathematics, machine learning, geospatial analytics,), and process (modelling framework, storytelling & visualization, communications, and presentations )
Build and maintain relationship with our strategic partners (L6, AMCB teams, ED&A, and external consultants) and ensure that their solution solves the desired business problem, is moved to production efficiently, and is deployed for maximum value. Support our strategic partners with data discovery, target definition and other technical support, and collaborate with them to satisfy control & compliance partner requirements. Bring their experience back to the AMCB D&A team.

Job Requirements

Develop robust and reliable machine learning algorithms helping to solve strategic business challenges
Use modern machine learning techniques on structured and unstructured data
Leverage a broad stack of technologies - Python, Conda, Azure, Java, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Communicate model algorithms and results to senior leaders and business partners
R&D on new Machine Learning techniques and their applications
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
Strategic partner 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
Sets 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)

Qualifications

Ph.D. or M.S. in a quantitative field such as Computer Science, Statistics, Mathematics or relevant fields
Significant prior success as a Data Scientist Manager (3+ direct reports) working on challenging problems at scale (Industry experience)
10+ years relevant experience
Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of Data Science products
Proficient skills in PySpark (ML libraries), Python (Catboost and XGboost libraries), SQL, ArcGIS, SAS as well as NLP, Deep Learning, Spatial Data Science
Strong desire to solve tough problems with scientific rigor at scale
Strong ability to coach Data Scientists, helping them improve their skills and grow their careers
Strong analytical and program solving skills are required to interpret data and draw conclusions.
Excellent written and verbal communications skills.
Ability to provide conflict resolution.
Strong ability to successfully balance competing priorities in a fast paced environment

Inclusiveness

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live in and serve, and creating an environment where every employee has the opportunity to reach their potential.

If you are a candidate with a disability and need an accommodation 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.

EOE/Minorities/Females/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity.