Banking Compliance - Data Scientist

Full job description

Work Location:

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. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions. The base pay actually offered may vary based upon candidate's skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs. As TD puts career development at the forefront of our colleague experience, it is not typical for an individual to be hired at or near the top of the range for their role.
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:

Data & Analytics
Department Overview:

The Fair Banking Compliance team oversees the governance and analytical processes to assure that predictive models and lending practices are fair and responsible. The Fair Banking Compliance analytics team is seeking a qualified Data Scientist II who will perform the quantitative analysis, model development, model review and related research to meet the business requirements of the team. This is a critical role in the oversight and review of models to ensure fair banking compliance. The incumbent of this role must have a strong working knowledge of building quantitative models, performing data analysis, presenting & documenting results of data analysis. The role requires excellent oral and written communication skills to communicate effectively with business partners.
Key Responsibilities:
Develop/Review models (traditional regressions as well as AI/ML based) to ensure fair banking compliance
Perform quantitative analysis to identify fair lending risks
Identify potential alternative ways to mitigate fair lending bias arising from models/policies
Develop specialized analytical tools for projects or ongoing use
Compile and generate ad-hoc analytical reports
Lead research efforts, applying expertise in statistical analysis and modeling
Provide advisory support to line of business model owners regarding best practices for compliance guided by policies and industry standards/methods
Lead cross-functional teams or projects with significant complexity
Independently manage end-to-end functional programs
Use sophisticated analytical mindset to exercise judgement and identify solutions
Communicate complex results to non-technical audience
Work autonomously as the lead and guide others within the area of expertise
Independently handle multiple projects and prioritize based on changing business needs
Job Description:

The Data Scientist II provides technical leadership across the overall Analytics function which may have an enterprise mandate. 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
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 technical certificate
7+ years relevant experience
Proficient PC skills including a strong competency in MS Excel and PowerPoint, and a variety of PC based analytical and reporting software packages
Advanced experience in the knowledge, utilization and adoption of the latest tools (i.e. machine learning) and technologies (i.e. Hadoop) in big data and advanced analytics
Strong analytical and program solving skills are required to interpret data and draw conclusions
Excellent written and verbal communications skills
Preferred Skills:
Advanced degree in a quantitative field (e.g., statistics, math, physics, engineering, finance or computer science)
In-depth knowledge of quantitative models and statistical analysis, familiarity with AI/ML based models. Proficiency in at least one analytical language - SAS and/or Python (preferred)
Experience working with databases/datasets and data visualization tools (Tableau/Power BI)
Strong presentation skills
Customer Accountabilities:
Provides insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
Works closely with business owners to identify opportunities and serve as an ambassador for data science
Designs and delivers enterprise analytic solutions for customers
Develops powerful business insights from social, marketing and industrial data using advanced machine learning techniques
Works in a highly interactive, team-oriented environment with Big Data developers, engineers, modelers and Visualization experts
Shareholder Accountabilities:
Builds complex statistical models that learn from and scale to petabytes of data
Analytical thought leadership and stay current on developments in data mining and the application of data science
Works independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
Employee/Team Accountabilities:
Acts as a technical working lead/resource to others. Work closely with senior leadership on significant projects.
Provides thought leadership and/or industry knowledge for own area of expertise
Supports a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
Identifies opportunities, leverage data related solutions to drive business productivity, and implement measures to enhance effectiveness and operational efficiency
Works effectively as a team, supporting other members of the team in achieving business objectives and providing client services
Participates in knowledge transfer within the team and business units
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
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 ******** . 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.

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