VP, Senior Manager, US Advanced Analytics (Remote, On-Site, or Hybrid)
Company: Td Bank Financial Group
Location: Raleigh
Posted on: June 24, 2022
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Job Description:
If you know how to have fun, can get stuff done, enjoy
leading/coaching people and love to be challenged by your job, do
not miss this opportunity at this wonderful organization!
Highly paid, perfect work-life balance, non-hierarchical culture,
low stress and fun atmosphere, can be remote, no Monday morning/ no
Friday meeting policy! 35 vacation days per year! Competitive
benefits! Interesting projects leveraging Geo-AI, NLP, Time Series
ML. No imaginary use cases! All of our projects are sponsored and
implemented.
Note: Having hands-on experience with various Machine Learning
Algorithms, PySpark, and Databricks is a must.
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 Profile Summary 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. S/he also has
an extensive hands-on experience in coding and developing ML
algorithms and are able to guide and train junior and senior data
scientists to troubleshoot their challenges. 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, AzureML, 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, AzureML,
SQL, 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 Science Manager (3+
direct reports) working on challenging problems at scale (Industry
experience)-- 5+ 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, AzureML as well as
NLP, Deep Learning, Spatial Data Science--Good understanding of
object oriented programming, testing framework and proficiency
inprogramming languages such as R, Python and libraries/modules
such as pyspark, sklearn,pytest, etc.. Familiarity with functional
programming in Java, ArcGIS is a plus.--Familiarity with version
control software or platform such as Git, Bitbucket or Github; IDE
suchas PyCharm, IntelliJ or Visual Studio Code. Familiarity with
AWS, Azure or Google Cloud is aplus.--Experience with both
spark/HDFS system and traditional relational database/system
language(e.g. SQL, etc.)--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.--Ability to know how to have fun and create a friendly
atmosphere at work
InclusivenessAt 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.
Keywords: Td Bank Financial Group, Raleigh , VP, Senior Manager, US Advanced Analytics (Remote, On-Site, or Hybrid), Executive , Raleigh, North Carolina
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