Data Scientist II (US) Position Available In Cumberland, Maine

Data Scientist II (US) at TD Bank in

Portland, Maine, United States Job Description Work Location:

Greenville, South Carolina, United States of America Hours:

40

Pay Details:

$68,640 – $102,960 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:

+ DevelopReview 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 Description Summary:

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

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; + Past relevant work experience is a plus

Desired Skills and Experience:

+ In lieu of 3 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 2+ years of relevant work experience. Graduate’s degree in a quantitative field is a plus. Research experience is a plus. + Demonstrated experience in development of predictive models using Python + In-depth knowledge of quantitative models and statistical analysis, Experience working with AI/ML based models. Proficiency in Python to be able to code multi objective optimization algorithms and display charts. + 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:

+ Understands business context and data infrastructure and translates 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:

+ 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 a