Data Scientist, International
Toronto, ON · On-site +1
About the Team The Analytics team is looking for Data Analysts and Data Scientists to guide ... fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns ...
Data Scientist, International
Toronto, ON · On-site +1
About the Team The Analytics team is looking for Data Analysts and Data Scientists to guide ... fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns ...
Sub-Prime Finance Manager
Etobicoke, ON · On-site
Analyze credit applications and bureaus, structure deals that meet lender guidelines, and secure ... Lead Handling: Support inbound/outbound specialfinance leads; maintain rigorous CRM notes and ...
Sub-Prime Finance Manager
Etobicoke, ON · On-site
Analyze credit applications and bureaus, structure deals that meet lender guidelines, and secure ... Lead Handling: Support inbound/outbound specialfinance leads; maintain rigorous CRM notes and ...
Sub-Prime Finance Manager
Etobicoke, ON · On-site
Analyze credit applications and bureaus, structure deals that meet lender guidelines, and secure ... Lead Handling: Support inbound/outbound specialfinance leads; maintain rigorous CRM notes and ...
Sub-Prime Finance Manager
Etobicoke, ON · On-site
Analyze credit applications and bureaus, structure deals that meet lender guidelines, and secure ... Lead Handling: Support inbound/outbound specialfinance leads; maintain rigorous CRM notes and ...
... analysis behind litigation matters, guides businesses through critical strategy and operational ... of fraud, waste, abuse, misconduct, and non-compliance. We are noted for deploying cross-trained ...
... analysis behind litigation matters, guides businesses through critical strategy and operational ... of fraud, waste, abuse, misconduct, and non-compliance. We are noted for deploying cross-trained ...
Inbound Fraud Analyst information
What is an inbound fraud analyst?
An Inbound Fraud Analyst is a professional responsible for identifying and investigating potentially fraudulent activities related to incoming transactions, calls, or account activities within an organization. They review alerts, analyze data, and assess risks to prevent financial losses and protect customers. Inbound Fraud Analysts often communicate with customers and other departments to resolve suspicious cases and ensure compliance with regulatory standards. Their work helps safeguard the reputation and assets of the company.
What are the key skills and qualifications needed to thrive as an inbound fraud analyst?
To thrive as an Inbound Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection tools, case management systems, and data analysis software is typically required, along with certifications like CFE (Certified Fraud Examiner) being advantageous. Excellent communication, critical thinking, and problem-solving abilities help analysts investigate suspicious activities and interact effectively with customers and colleagues. These skills are crucial for identifying and preventing fraudulent activity, minimizing financial loss, and maintaining trust in the organization.
What are the typical challenges faced by inbound fraud analysts, and how can they effectively manage high-pressure situations?
Inbound Fraud Analysts often encounter high-volume workloads, rapidly changing fraud tactics, and the need to make quick, accurate decisions to prevent losses. Managing these pressures requires strong analytical skills, attention to detail, and the ability to stay calm under stress. Effective collaboration with team members and ongoing training in the latest fraud detection tools can help analysts stay ahead of trends and maintain high performance in fast-paced environments.
What is the difference between Inbound Fraud Analyst vs Outbound Fraud Analyst?
| Aspect | Inbound Fraud Analyst | Outbound Fraud Analyst |
|---|---|---|
| Credentials | Typically requires fraud detection certifications, relevant experience in fraud analysis | Similar credentials, often overlapping with inbound roles |
| Work Environment | Customer service centers, financial institutions, e-commerce companies | Financial institutions, e-commerce, call centers |
| Employer & Industry | Primarily in banking, finance, online retail | Same industries, focusing on outbound transactions |
| Search & Comparison Intent | Understanding role differences, job requirements | Comparing fraud analysis roles in different transaction directions |
Both Inbound Fraud Analysts and Outbound Fraud Analysts focus on detecting and preventing fraudulent activities, but they differ in transaction direction. Inbound Fraud Analysts primarily handle incoming transactions and customer reports, while Outbound Fraud Analysts focus on outgoing transactions. Understanding these differences helps job seekers identify roles aligned with their skills and career goals.
Are inbound fraud analyst jobs in high demand?
Inbound fraud analyst jobs are in increasing demand due to the growing need for fraud prevention in financial services and e-commerce sectors. These roles often require skills in data analysis, fraud detection tools, and knowledge of security protocols, making them a valuable part of risk management teams.
How much does an inbound fraud analyst get paid?
An inbound fraud analyst typically earns between $40,000 and $70,000 annually, depending on experience, location, and the employer. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, often with opportunities for bonuses and overtime.
What are popular job titles related to Inbound Fraud Analyst jobs in Toronto, ON?
For Inbound Fraud Analyst jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Inbound Fraud Analyst jobs in Toronto, ON look for?
The top searched job categories for Inbound Fraud Analyst jobs in Toronto, ON are:
Full-time
Re-posted 14 days ago
Job description
About the Team
The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash.
About the RoleData Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience.
We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!
You're excited about this opportunity because you will...- Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what's next for DoorDash
- Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
- Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
- Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
- Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
- Identify and measure levers to help move essential metrics and make recommendations
- Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering and set priorities
- Be excited to travel to meet with business partners and the teams in each market
- 3+ years of experience in data analytics, consulting, or related role
- The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
- The determination to initiate and lead/own strategic projects to completion with a cross-functional team
- Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
- Proficiency in at least one programming language (Python, R,...)
- Expertise with SQL queries, ETLs, etc...
- Proficiency in one or more analytics & visualization tools
- Experience building and training statistical and machine learning models (classifiers, regression models...)
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey