Data Scientist II (US)

TD Bank • Charlotte, NC

4h

About The Position

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 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, recommending statistical tests, researching metrics and presenting results of data analysis. The role requires excellent verbal and written communication skills to communicate effectively with business partners. The Data Scientist I is responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning. Depth & Scope: Experienced professional role providing specialized guidance/assistance to function supported Focuses on short to medium-term non-routine specialized/ fewer complex issues and/or initial escalated matters Independently perform activities from end-to-end

Requirements

• 3+ years relevant work experience or Undergraduate degree and 2+ years of relevant work experience.
• In-depth knowledge of quantitative models and statistical analysis
• Experience working with AI/ML based models.
• Proficiency in Python is required.
• 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

Nice To Haves

• Graduate's degree in a quantitative field is a plus.
• Research experience is a plus.

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
• 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 enhance performance
• Contributes to various operational activities and processes as assigned
• Is knowledgeable of practices and procedures within own area of responsibility and keeps abreast of emerging trends for own functional area
• Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist
• Acquires and applies expertise in the discipline, provides guidance, assistance and direction to others
• Identifies, recommends and effectively executes standard practices applicable to the discipline
• Adheres to internal policies/procedures and applicable regulatory guidelines
• 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
• 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
• Supports the team by continuously enhancing knowledge/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 the success of the team by willingly assisting others in the completion and performance of work activities; provides training, coaching and/or guidance as appropriate
• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level