Work Location:
Vienna, Virginia, United States of America
Hours:
40
Pay Details:
$76,128 - $124,800 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:
The Data Scientist II 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.
Position Overview:
As a key member of Financial Crimes Analytics & Insights Team, this position will play a pivotal role in enabling the 1st line to combat financial crimes risks through various ad hoc analyses and priority initiatives.
Key Responsibilities include:
• Leverage various statistical and advanced techniques to identify emerging risks, patterns and typologies to predict financial crime activities and risks.
• Conduct ad hoc analyses to address business and regulatory body questions or inquiries, provide actionable insights.
• Develop and maintain scalable data model to support the analytics framework.
• Translate data into consumable insights, and present findings to businesses, gather of feedback, and integrate feedback to improve predictions.
• Work with partners from AMCB AI2 and AMCB DaaS to explore new data sets and how they can be leverage for financial crimes.
• Based on the above, develop interactive, self-service solutions to arm business users the information needed to conduct review and spot outliers. Depth & Scope:
• Works autonomously within a specialized business management function and may provide work direction to others
• Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
• Scope of role may have enterprise impact
• Focuses on short to medium - term issues (e.g. 6-12 months)
• Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
• Oversees and/or independently performs tasks 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;
• 3+ year of relevant experience; higher degree education and research tenure can be counted Preferred Qualifications :
• Technical Skills: ETL, Python, PySpark, R, SQL, Databricks, Azure, Tableau/PowerBI
• Proven experience in data modeling, advanced analytics, and statistical analysis using programming languages such as Python
• Strong communication and relationship management skills to effectively collaborate with cross-functional teams and support stakeholders
• Strong analytical skills with experience in detecting patterns and anomalies in large datasets
• Ability to interpret complex data and translate it into actionable insights and present them to both technical and non-technical stakeholders
• Experience with building data model such as data vault, slow moving dimension, or star schema.
• Experience in building LLMs agent for data analytics projects
• Experience with machine learning and statistical modeling is a plus
• Demonstrated ability in building and maintaining large-scale data pipelines and architectures.
• Experience with Azure cloud a plus
• Knowledgeable of data management & governance and its importance on data consumption 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 activities that enhance performance
• Adheres to enterprise frameworks or methodologies that relate to activities for our 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 Physical Requirements:
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
• Domestic Travel - Occasional
• International Travel - Never
• Performing sedentary work - Continuous
• Performing multiple tasks - Continuous
• Operating standard office equipment - Continuous
• Responding quickly to sounds - Occasional
• Sitting - Continuous
• Standing - Occasional
• Walking - Occasional
• Moving safely in confined spaces - Occasional
• Lifting/Carrying (under 25 lbs.) - Occasional
• Lifting/Carrying (over 25 lbs.) - Never
• Squatting - Occasional
• Bending - Occasional
• Kneeling - Never
• Crawling - Never
• Climbing - Never
• Reaching overhead - Never
• Reaching forward - Occasional
• Pushing - Never
• Pulling - Never
• Twisting - Never
• Concentrating for long periods of time - Continuous
• Applying common sense to deal with problems involving standardized situations - Continuous
• Reading, writing and comprehending instructions - Continuous
• Adding, subtracting, multiplying and dividing - Continuous . click apply for full job details
Date Posted: 09 May 2025
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