VP, Senior Manager, US Advanced Analytics (Remote, On-Site, or Hybrid)
Company: Td Bank Financial Group
Location: Las Vegas
Posted on: May 14, 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
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.
Keywords: Td Bank Financial Group, Las Vegas , VP, Senior Manager, US Advanced Analytics (Remote, On-Site, or Hybrid), Professions , Las Vegas, Nevada
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