T

TD Bank

Offers banking, loans, and wealth management.

Data Scientist 3 - FCRM Risk Modeling

Data SciencePosted on Nov 9
Full-time$96.1k - $155.9k

About the Job

Requirements

  • Applicants must be a U.S. citizen or U.S. lawful permanent resident and must not require current or future work visa sponsorship.
  • Five or more years of relevant experience, or a higher degree with research tenure counted toward experience.
  • A strong foundation in regression, classification, machine-learning models, and anomaly-detection techniques.
  • Proficiency in Python and SQL.
  • Experience with financial-crime or compliance risk analytics is an advantage.
  • Hands-on experience with generative AI applications, including fine-tuning or prompting large language models, is an advantage.
  • Ability to build analytical solutions using large language model application programming interfaces and use generative AI applications to develop data-labeling solutions.

Responsibilities

  • Provide technical leadership across the analytics function and explain complex data-analysis material to clients.
  • Develop, maintain, and enhance anti-money-laundering and counter-terrorism-financing models and artificial-intelligence solutions to meet regulatory requirements and internal policies, support global strategies, address emerging risks, and follow industry practices.
  • Work independently on analysis, design, and support of technical data-management solutions across projects of varying complexity and size.
  • Undertake complex initiatives requiring specialist knowledge or integration of cross-functional processes, and contribute to longer-range functional planning.
  • Work closely with business owners to identify opportunities and promote data science.
  • Understand business context and data infrastructure, and translate business problems into viable data-science solutions.
  • Use programming languages, including Python, and techniques for extracting and preparing data, applying statistics and advanced analytics, and deriving insights from large datasets.
  • Visualize data insights and communicate results clearly to decision-makers and stakeholders at all levels of technical understanding.
  • Collaborate with data and business analysts, software engineers, data engineers, and application developers to develop scalable, sustainable data-science solutions with long-term business benefit.
  • Stay current on data-mining and data-science developments and provide analytical thought leadership.
  • Identify business-process improvements through insights to improve effectiveness and efficiency.
  • Educate the organization on hypothesis testing and statistical validation of results, and explain the principles and mathematics behind the scientific process.
  • Translate current information into continuous-improvement activities that enhance performance.
  • Follow enterprise frameworks and methodologies relevant to the business area.
  • Ensure programs, policies, and practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities.
  • Participate as a subject-matter expert in cross-functional and enterprise initiatives, identifying risks and guiding complex situations.
  • Monitor service and productivity, assess functional efficiency, and implement process and performance improvements.
  • Lead, facilitate, or implement action and remediation plans addressing performance, risk, or governance issues.
  • Manage relationships across business lines, corporate functions, and control functions, ensuring alignment with enterprise and regulatory requirements.
  • Monitor emerging issues, trends, and regulatory requirements and assess their potential impacts.
  • Maintain a culture of risk management and control aligned with risk appetite.
  • Participate as a team member, support a positive work environment, and communicate relevant issues and information in a timely manner.
  • Share expertise and industry knowledge, and participate in knowledge transfer within the team and business unit.
  • Keep current with emerging trends and develop knowledge of the business, related tools, and techniques.
  • Participate in personal performance management and development activities, including cross-training within the team.
  • Keep others informed about project status and progress and share relevant information related to daily activities.
  • Contribute to team capability development by mentoring others, sharing knowledge and experience, and applying best practices.
  • Develop productive working relationships with internal and external business partners and stakeholders.
  • Represent the business area and bank internally and externally.

Desired Qualifications

  • An undergraduate or advanced technical degree in mathematics, physics, engineering, finance, or computer science is preferred.
  • A graduate degree is preferred.

About the Company

TD Bank

Offers banking, loans, and wealth management.

TD Bank provides a wide range of banking and financial services in North America for individuals, businesses, and corporations. Core offerings include checking and savings accounts, credit cards, loans, mortgages, investment products, and wealth management. TD Bank emphasizes digital banking through online and mobile apps that let customers manage money, pay bills, deposit checks, transfer funds, and manage cards. Revenue comes from interest on loans, service fees, and investment income. The company differentiates itself with a broad product lineup, large North American footprint, and integrated services for both personal and business customers, plus a focus on digital accessibility. Its goal is to be a leading, accessible financial institution that helps customers manage and grow their money through convenient, everyday banking and investment solutions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1955

Recently Posted Jobs

Explore more opportunities at TD Bank

See more jobs