Work Location:
Mount Laurel, New Jersey, United States of America
Hours:
40
Pay Details:
$95,264 - $155,376 USD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
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:
Analytics, Insights, & Artificial Intelligence
Job Description:
Department Overview:
We are seeking a highly skilled Senior Data Scientist in our Financial Crime Risk Modeling & Advanced Analytics team. In this pivotal role, you will be responsible for financial crime risk model validation and monitoring.
Job Description:
The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.
Depth & Scope:
Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
Position typically deals with senior/executive management
Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
Focuses on longer-range planning for functional area (e.g. 12 months or greater)
May manage and prioritize multiple projects at a given time
Education & Experience:
Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
5+ year of relevantexperience; higher degree education and research tenure can be counted
Preferred Skills:
Hands-on experience in modeling or model validation with strong coding skills in Python and SQL
Knowledge of the AML domain is a plus, along with experience in SAS coding and Transaction Monitoring
In lieu of an Undergraduate degree and 5+ years of relevant experience, we will consider a Graduate's Degree and 4+ years of relevant experience.
Customer Accountabilities:
Works closely with business owners to identify opportunities and serves as an ambassador for data science
Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business
Shareholder Accountabilities:
Analytical thought leadership and stays current on developments in data mining and the application of data science
Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
Educates the organization on approaches, such as testing hypotheses and statistical validation of result
Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
Translates up to date information into continuous improvement activities that enhances performance
Adheres to enterprise frameworks or methodologies that relate to activities for business area
Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities
Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist
Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues
Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite
Employee/Team Accountabilities:
Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest
Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit
Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques
Participates in personal performance management and development activities, including cross training within own team
Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities
Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships
Contributes to a fair, positive and equitable environment that supports a diverse workforce
Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally
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 (http://hrportal.ehr.com/tdtotalrewards)
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.
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
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