Data Scientist III

Work Location:

Greenville, South Carolina, United States of America

Hours:

40

Pay Details:

$86,840 - $130,000 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:

Why Work with Us?

At TD Bank US Compliance, we're on a mission to build a more resilient and scalable compliance risk management function. As part of our team, you'll play a key role in reshaping compliance structures and processes, driving innovation at every level. Here, each team member has a chance to make a tangible impact - both in day-to-day operations and in the design of a future-focused compliance program. This not just about implementing a new program - it's about creating a culture of compliance that will cascade throughout the organization.

The Ideal Candidate

The ideal candidate will thrive in a fast-paced, start-up-like setting as we build a new compliance structure that aligns with the bank's size, complexity, and risk profile. In this role, you'll need to be strategic, tactical, collaborative and creative in your approach. You will manage day-to-day operations while also helping design and implement a forward-thinking compliance program for the future.

Beyond technical expertise, we're looking for someone with an entrepreneurial mindset-someone who can "roll up their sleeves", takes the initiative and can anticipate needs before they arise. A comfort level with ambiguity and the ability to excel in a dynamic, evolving landscape are essential as the US Compliance team redefines the bank's compliance program and structure.

Most importantly, the right candidate is seeking an intellectual challenge, has a desire to learn, and is committed to building something impactful from the ground up. At TD Bank, you'll have the unique opportunity to help shape the future of the bank while collaborating with a team of enthusiastic colleagues dedicated to setting new industry standards.

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 Please review the preferred background and experience section below in as you consider this opportunity.

The above details are specific to the role which is outlined in the general description below.

Job Summary

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 Desired Skills and Experience:
•   In lieu of 5 years of relevant experience, we will accept an Undergraduate degree in a quantitative field (e.g., statistics, math, physics, engineering, finance or computer science) plus 4+ years of relevant work experience. Graduate's degree in a quantitative field is a plus.
•   Demonstrated experience in development of predictive models using R/Python/SAS
•   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 communications skills, both written and verbal. Strong presentation skills
•   Strong interpersonal and consultative communication skills with well-developed presentation skills 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 . click apply for full job details