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Technical Analyst - Payments Fraud (Cheques and EFTs)

KOHO

Full-time
Canada
C$88k-C$122k per year
sql
aws
business analyst
data analysis
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

About the Role

As a Business Analyst at KOHO, you will play a key role in the team that is responsible for developing strategies and controls to manage areas of fraud risk. This role requires experience in the development and utilization of data including maintaining data design, utilization via technical tools and modeling. You will report to the Sr Manager, Fraud Strategy.

What You'll Do

  • Assess current and future controls, identifying impacts to customers, revenue, or losses through data analysis and modeling, and implement

  • Bring a deep knowledge of payments including cheques, EFTs and cards to define ideal risk mitigation strategies including hold and verification techniques

  • Work on the continuous design and development of our fraud detection models and systems

  • Understand the different fraud patterns that KOHO faces and define actions to stop them, balancing the experience of our good customers.

  • Proactively look for ways to improve efficiency by leveraging automation 

  • Live the five Values of KOHO with the internal team and external partners/vendor

Who You Are

  • You start by understanding the problem, asking ‘why’, and identifying the data to determine the root cause.

  • You have a deep knowledge of the Canadian payments ecosystem including liability rules and techniques to mitigate risks, in particular for cheques, EFTs and cards.

  • You have designed and implemented control frameworks based on user and product risk profiles.

  • You don’t limit yourself to your past experience or job description.  If you need a tool or approach, you learn it and bring the rest of the team along with you in your discovery.

  • You share your knowledge and experience with your team members, especially those more junior, and make everyone around you better.

  • You are proficient in SQL, with strong capabilities in reporting and data presentation including Sisense.

  • You have experience analyzing transactional data from networks (Mastercard/Visa) to develop and refine fraud rules and models.

  • You have familiarity with fraud prevention platforms and knowledge of fraud risks associated with payments and banking.

  • You are comfortable working with third-party vendors to optimize the use of their fraud prevention tools.

  • You are comfortable in managing cross-functional, multi-stakeholder projects and communicating through presentations.

  • You are a continuous learner - you own your development by reading books, taking courses, or seeking coaching.

A bonus if you have experience or an interest in any of the following!

  • Experience working with AWS Redshift is an asset.

  • You know how to make tradeoffs between product, business and engineering. 

  • You have worked at a Fintech or similar startup.

About the job

Full-time
Canada
C$88k-C$122k per year
Posted 1 year ago
sql
aws
business analyst
data analysis
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Technical Analyst - Payments Fraud (Cheques and EFTs)

KOHO
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

About the Role

As a Business Analyst at KOHO, you will play a key role in the team that is responsible for developing strategies and controls to manage areas of fraud risk. This role requires experience in the development and utilization of data including maintaining data design, utilization via technical tools and modeling. You will report to the Sr Manager, Fraud Strategy.

What You'll Do

  • Assess current and future controls, identifying impacts to customers, revenue, or losses through data analysis and modeling, and implement

  • Bring a deep knowledge of payments including cheques, EFTs and cards to define ideal risk mitigation strategies including hold and verification techniques

  • Work on the continuous design and development of our fraud detection models and systems

  • Understand the different fraud patterns that KOHO faces and define actions to stop them, balancing the experience of our good customers.

  • Proactively look for ways to improve efficiency by leveraging automation 

  • Live the five Values of KOHO with the internal team and external partners/vendor

Who You Are

  • You start by understanding the problem, asking ‘why’, and identifying the data to determine the root cause.

  • You have a deep knowledge of the Canadian payments ecosystem including liability rules and techniques to mitigate risks, in particular for cheques, EFTs and cards.

  • You have designed and implemented control frameworks based on user and product risk profiles.

  • You don’t limit yourself to your past experience or job description.  If you need a tool or approach, you learn it and bring the rest of the team along with you in your discovery.

  • You share your knowledge and experience with your team members, especially those more junior, and make everyone around you better.

  • You are proficient in SQL, with strong capabilities in reporting and data presentation including Sisense.

  • You have experience analyzing transactional data from networks (Mastercard/Visa) to develop and refine fraud rules and models.

  • You have familiarity with fraud prevention platforms and knowledge of fraud risks associated with payments and banking.

  • You are comfortable working with third-party vendors to optimize the use of their fraud prevention tools.

  • You are comfortable in managing cross-functional, multi-stakeholder projects and communicating through presentations.

  • You are a continuous learner - you own your development by reading books, taking courses, or seeking coaching.

A bonus if you have experience or an interest in any of the following!

  • Experience working with AWS Redshift is an asset.

  • You know how to make tradeoffs between product, business and engineering. 

  • You have worked at a Fintech or similar startup.

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