Full-Time

Fraud Modelling/Forecasting Specialist

Posted on 2/20/2025

TD Bank

TD Bank

11-50 employees

Personalized wealth management and financial planning

Fintech
Financial Services

Compensation Overview

$95.3k - $155.4kAnnually

Senior

Remote in USA

This is a remote position with less than 10% travel requirements. The primary work location is Mount Laurel, New Jersey.

Category
Data Science
Data Analysis
Data & Analytics
Required Skills
Data Analysis

You match the following TD Bank's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Strong experience in fraud detection
  • Deep understanding of graph databases
  • Passion for solving complex problems
  • Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
  • 5+ years of relevant experience; higher degree education and research tenure can be counted
Responsibilities
  • Leverage a solid understanding of graph theory and advanced analytics to develop innovative fraud detection models and strategies
  • Collaborate with cross-functional teams to design, implement, and monitor fraud mitigation solutions
  • Analyze complex data structures, identifying trends, and continuously look for new opportunities and data sources to enhance fraud detection capabilities
  • Lead the activities related to delivery of data deliverables - data package, data model, and data mappings
  • Conduct walkthroughs of all data deliverables to aid approval/sign-off process with internal stakeholders
Desired Qualifications
  • Strong knowledge of graph algorithms and their practical applications in fraud detection
  • Experience with graph databases such as TigerGraph, Neo4j, as well as cloud platforms like Databricks for graph analytics
  • In-depth understanding of different types of fraud (e.g., account takeover, money laundering, transaction fraud)
  • Ability to perform data wrangling, data exploration, and visualization of complex graph structures
  • Expertise in building machine learning models for fraud detection, including supervised/unsupervised models

TD Bank provides wealth management services aimed at helping Canadians grow, manage, and protect their wealth. Their approach involves understanding each client's unique goals through a detailed discovery process that incorporates behavioral finance to create a personalized Wealth Personality™ profile. This profile guides the development of a customized wealth strategy that adapts to the client's life priorities, focusing on building net worth, implementing tax-efficient strategies, protecting assets, and planning for legacy. Unlike many competitors, TD Bank emphasizes a personalized and holistic approach to financial planning, ensuring that advice is relevant and tailored to individual needs.

Company Size

11-50

Company Stage

IPO

Total Funding

N/A

Headquarters

Toronto, Canada

Founded

1955

Simplify Jobs

Simplify's Take

What believers are saying

  • Digital banking adoption is driving demand for enhanced mobile banking features.
  • Open banking allows TD Bank to collaborate with fintech for personalized services.
  • Sustainability trends support TD Bank's focus on green finance initiatives.

What critics are saying

  • Competition from fintechs pressures TD Bank to innovate rapidly.
  • Rising interest rates may reduce demand for new home loans.
  • Remote work trends could impact TD Bank's commercial real estate investments.

What makes TD Bank unique

  • TD Bank is leveraging AI for advanced fraud detection and prevention.
  • The bank is integrating ESG criteria into its lending and investment decisions.
  • TD Bank is exploring blockchain for cross-border transaction efficiency.

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Benefits

Health Insurance

Paid Vacation

Flexible Work Hours

Professional Development Budget

Mental Health Support

Wellness Program

Performance Bonus

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