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Manager, Fraud Analytics

Tangerine Bank

Toronto

On-site

CAD 70,000 - 110,000

Full time

7 days ago
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Job summary

An established industry player is seeking a dynamic Manager of Fraud Analytics to enhance fraud mitigation capabilities across various products. In this pivotal role, you will champion a customer-focused culture while developing and executing innovative fraud strategies. Your expertise in statistical analysis and data mining will be crucial in identifying fraud risks and improving existing procedures. This role offers a unique opportunity to make a significant impact within a collaborative environment that values inclusivity and innovation. Join a team dedicated to helping Canadians live better lives through accessible banking solutions.

Qualifications

  • 3+ years of analytical experience in Fraud Analytics or Risk Management.
  • Strong coding skills in SQL and Python for data manipulation.

Responsibilities

  • Develop and monitor fraud strategies for lending products.
  • Leverage data mining tools to minimize fraud losses.

Skills

Statistical Analysis
Fraud Analytics
Data Mining
SQL
Python
Project Management
Communication Skills
Relationship Building

Education

University Degree in Statistics
University Degree in Mathematics
University Degree in Computer Science

Tools

PRM or Similar Fraud Platform
Data Mining Tools

Job description

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Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

As theManager, Fraud Analytics, you will contribute to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. You will ensureall activities conducted are in compliance with governing regulations, internal policies and procedures.

You will also proactively contribute to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Credit Cards, Unsecured Lending Products and Mortgages.

WhatYou willdo in this role:

  • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
  • Develop, execute and monitor fraud strategies for unsecured and secured lending products, leveraging best in class analytics
  • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
  • Identify improvements of existing fraud strategies, procedures and policies
  • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
  • Identify opportunities for improvement with focus on risk/return while ensuring alignment with Fraud Operations teams
  • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
  • Leverage data mining tools (Python or R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
  • Lead / participate in the identification, development and implementation of new initiatives
  • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
  • Participate in discussions with IT partners and vendors on requirements and solution design
  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

What we're looking for:

  • A University degree in statistics, mathematics or computer science
  • 3 years + analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
  • 3 + years in strong coding, organizing and manipulating large amounts of data. SQL and Pythonis required
  • Experience with PRM or similar fraud platform strongly desired, not required
  • Knowledge of payment industry (payment network, processing platform) strongly desired.
  • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
  • Strong communication skills essential with clients, vendors and management
  • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization

At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

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