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27 Tsys Fraud Analyst Jobs Hiring Near You

Analyst, Fraud

Toronto, ON · On-site

CA$52K - CA$71K/yr

Experience with systems and change management is an asset (SecureCode, TSYS). * Minimum 1 year of experience in Fraud Detection / data analysis / financial modeling / data mining role. Come and join ...

Payments Fraud Analytics Lead

Newark, DE · On-site

$101K - $172K/yr

PAYMENTS FRAUD ANALYTICS LEAD WHAT IS THE OPPORTUNITY? The Payments Fraud Analytics Lead, leads the ... Create, test and implement rule criteria in applicable detection systems (e.g., VCAS, VRM, TSYS ...

Sr. Business Analyst

Tampa, FL

$87K - $112K/yr

... TSYS and providing consultation to internal and external teams as needed ... You will work with teams across the company: business development, marketing, fraud, risk ...

You will identify, analyze and conduct investigations of client transactions through credit cards ... You can demonstrate experience in COINS/ECIF, PRM, TSYS and CRS is an asset. * You put our clients ...

... fraud protection. Our payment processing solutions are driven by customer needs. We understand ... Overview The Risk Analyst is primarily responsible for analyzing and calculating financial risk ...

Card Test Lead and Test Engineer

Des Plaines, IL · Hybrid

$46.25 - $63/hr

... Fraud transfers o Payment allocation o Fees and financial charges • Hands-on experience with TSYS ... analysts, developers, and third-party vendors to ensure complete test coverage. • Validate ...

Card Test Lead and Test Engineer

Des Plaines, IL · Hybrid

$46.25 - $63/hr

... Fraud transfers o Payment allocation o Fees and financial charges • Hands-on experience with TSYS ... analysts, developers, and third-party vendors to ensure complete test coverage. • Validate ...

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Analyst, Fraud

PC Financial

Toronto, ON • On-site

CA$52K - CA$71K/yr

Full-time

Posted 3 days ago


Job description

Referred applicants should not apply directly to this role.

All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

Location:

500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

When you hire great people, great things can happen.

PC Financial offers unprecedented value to Canadians through payment products. We're a different kind of bank with a different type of team-we're collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

Why This Role is Important:

This positionis responsible forreviewing fraud cases, providing effective fraudanalysisand implementing fraud rules / strategies tomonitorhigh riskbehaviours on our portfolio at a tactical level.

WhatYou'llDo:

  • Analyze the portfolio and respective credit risk strategies tooptimizerisk and reward.

  • In conjunction with the Senior Manager, recommend improvements and quantify the benefits.

  • In conjunction with the Senior Manager, update andvalidatechanges to the fraud systems.

  • Develop,maintain, and produce a scheduled inventory of financial, operational, and compliance control reporting

  • Collaborate and communicate effectively with cross functional teams to achieve objectives

What You Bring:

  • Attention to detail and personal accountability to ensure accuracy of produced results.

  • Ability to successfully communicate complex problems verbally and written.

  • Ability to prioritize and independently execute assigned work.

  • Post-Secondary Degree or equivalent experience in a quantitative field preferred (Economics, Business Administration, Statistics, Mathematics, Computer Science, Operations Research)

  • Demonstrated experience working with a programming language is preferred (SAS, SQL, Oracle).

  • Experience with systems and change management is an asset (SecureCode, TSYS).

  • Minimum 1 year of experience in Fraud Detection / data analysis / financial modeling / data mining role.

Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

Number of Openings:

1

PC Financial recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation's evolving diversity in the products we sell, the people we hire, and the culture we create in our organization.Accommodation is available upon request for applicants and colleagues with disabilities.

In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct - it reinforces what our customers and stakeholders expect of us.

Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

Hiring Range / Echelle salariale a l'embauche :$52,000.00 - $71,500.00 / 52.000,00$ - 71.500,00$ (per year / par an)A candidate's experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L'experience et les connaissances d'un candidat ainsi que la region geographique dans laquelle le poste est situe peuvent etre prises en compte dans la remuneration qu'un candidat recoit pour ce poste. Cette offre d'emploi concerne un poste vacant existant. L'entreprise utilise l'intelligence artificielle dans le but de filtrer, d'evaluer et/ou de selectionner les candidats a ce poste.

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