{"id":1156779,"url":"https://alion.io/job/td-bank-group-data-scientist-ii-us-fcrm-modeling","title":"Data Scientist II (US) FCRM Modeling","company":{"id":3167,"name":"TD Bank Group","domain":"td.com","url":"https://alion.io/company/td-bank","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":316,"ghost_share":0,"stale_share":0.158,"repost_share":0.016,"time_to_fill_p50_days":13,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["Charlotte, United States","Boston, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":76290,"max":125260,"currency":"USD","period":"year","gross":null,"usd_annual":125260},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-23T21:54:10Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T07:24:00Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Work Location:\nMount Laurel, New Jersey, United States of AmericaHours:\n40Pay Details:\n76,290.00 - 125,260.00 USDTD 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.\nAs 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.\nLine of Business:\nAnalytics, Insights, & Artificial IntelligenceJob Description:\nEligibility Requirements \nApplicants must be either a U.S. citizen or a U.S. Lawful Permanent Resident (Green Card Holder) must not require current or future TD sponsorship.\nWork Visa Sponsorship\nThis role is not eligible for TD work visa support or sponsorship, including H-1B, F-1 OPT/STEM OPT, TN, or other work visa authorizations.\nJob Description:\nThe 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.\nDepartment Overview:\nThe US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice.\nWe are seeking data scientists at various levels to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting.\nDepth & Scope:\nWorks autonomously within a specialized business management function and may provide work direction to others\nProvides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members\nScope of role may have enterprise impact\nFocuses on short to medium - term issues (e.g. 6-12 months)\nUndertakes 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\nOversees and/or independently performs tasks from end-to-end\nEducation & Experience:\nUndergraduate 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;\n3+ year of relevant experience; higher degree education and research tenure can be counted\nPreferred Skills:\nGraduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline; academic research experience may be considered equivalent to industry experience\nProficiency in Python and SQL coding\nHands-on experience with advanced quantitative analysis, statistical modeling, and machine learning\nStrong communication skills, with the ability to present analytical findings to both technical and non-technical audiences\nExperience with LLM prompt engineering and performance evaluation is a plus\nKnowledge of financial crime, anti-money laundering (AML), sanctions screening, watchlist screening, or compliance risk analytics is a plus\nAwareness of Responsible AI and model governance is a plus\nCustomer Accountabilities:\nUnderstands business context and data infrastructure and translates business problems to viable data science solutions\nUses 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\nVisualizes 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\nCollaborates 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\nShareholder Accountabilities:\nSolicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency\nEducates the organization on approaches, such as testing hypotheses and statistical validation of result\nHelps the organization understand the principles and the math behind the scientist process to drive organizational alignment\nTranslates up to date information into continuous improvement activities that enhance performance\nAdheres to enterprise frameworks or methodologies that relate to activities for our business area\nEnsures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities\nParticipates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations\nMonitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist\nLeads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues\nActively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements\nKeeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts\nMaintains a culture of risk management and control, supported by effective processes in alignment with risk appetite\nEmployee/Team Accountabilities:\nParticipates 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\nProvides 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\nKeeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques\nParticipates in personal performance management and development activities, including cross training within own team\nKeeps 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\nContributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices\nLeads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships\nContributes to a fair, positive and equitable environment that supports a diverse workforce\nActs as a brand ambassador for your business area/function and the bank, both internally and/or externally \nPhysical Requirements:\nNever: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%\nDomestic Travel - Occasional\nInternational Travel - Never\nPerforming sedentary work - Continuous\nPerforming multiple tasks - Continuous\nOperating standard office equipment - Continuous\nResponding quickly to sounds - Occasional\nSitting - Continuous\nStanding - Occasional\nWalking - Occasional\nMoving safely in confined spaces - Occasional\nLifting/Carrying (under 25 lbs.) - Occasional\nLifting/Carrying (over 25 lbs.) - Never\nSquatting - Occasional\nBending - Occasional\nKneeling - Never\nCrawling - Never\nClimbing - Never\nReaching overhead - Never\nReaching forward - Occasional\nPushing - Never\nPulling - Never\nTwisting - Never\nConcentrating for long periods of time - Continuous\nApplying common sense to deal with problems involving standardized situations - Continuous\nReading, writing and comprehending instructions - Continuous\nAdding, subtracting, multiplying and dividing - Continuous\nThe above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.\n#LI_AMCBCorporate\nWho We Are:\nTD 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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.\nOur Total Rewards Package\nOur 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/incentiveawards (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\nAdditional Information:\nWe’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.\nColleague Development\nIf 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.\nIf you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.\nWe're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.\nTraining & Onboarding\nWe will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.\nInterview Process\nWe’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.\nAccommodation\nTD Bank is an equal opportunity employer. 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