Business Analyst (Fraud Strategy)

Türkiye
Kontrat
Tam zamanlı

19 gün önce

About KOHOKOHO's purpose is to empower Canadians to build a great financial foundation with products that are radically transparent and easy to manage. We first launched in 2017, and we have since built a community of over 2 million users. Leading investors around the globe believe in our vision, and we've successfully raised over $320M to make our vision a reality.Discover our culture here and get the inside scoop from our team here!About the RoleAs 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 and money laundering risk. This role requires experience in the development and utilization of data including maintaining data design, utilization via technical tools and modelling. You will report to the Sr Manager, Fraud Strategy.What You’ll Do

You will assess current and future controls, identifying impacts to customers, revenue, or losses through data analysis and modelling, and implementation
You will work on the continuous design and development of our fraud/ money laundering detection models and systems
Understand the different fraud patterns/ money laundering risks that KOHO faces, and define actions to stop them, while balancing the experience of our good customers.
You will proactively look for ways to improve efficiency by leveraging automation
You will live the Values of KOHO with the internal team and external partners/vendor

Who You Are

You have a minimum of 2 years of experience working within the AML/Fraud space, demonstrating a solid understanding of AML, KYC, and fraud prevention concepts.
You start by understanding the problem, asking 'why', and identifying the data to determine the root cause.
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.
Proficient in SQL and Python, with strong capabilities in reporting and data presentation including Sisense. Experience with javascript is an asset.
Experience working with AWS Redshift, Sagemaker, Github.
You have experience analyzing transactional and user data to develop and refine fraud/AML rules and models.
You have familiarity with fraud prevention platforms and knowledge of fraud/money laundering 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.

What’s In It For You?We invest time and resources into making sure KOHO is as good as the people we hire. Here are some of the reasons we attract the best people:????♂️ Balance Your Life – Company-wide summer wellness days, winter holiday closure, personal days, a wellness spending account, and maternity & parental leave top-up???? Remote First – Work from anywhere in Canada with a budget to set up your home office???? Level Up – Access to an in-house certified performance coach and an annual training budget???? The KOHO Culture – We have won 7 “Great Place to Work ®” awards since 2019???? Be an Owner – Every KOHO employee gets a generous amount of equity with a 10 year exercise windowThe KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact and the People and Culture team will be happy to help.AI Disclosure: KOHO uses artificial intelligence (AI) in certain aspects of its recruitment process to screen, assess, or select applicants. For any questions or concerns, please contact us at .Note: this posting is for an existing vacancy that we are seeking to fill.#LI-RemoteTo help us track our recruitment effort, please indicate in your cover/motivation letter where (vacanciesinturkey.com) you saw this job posting.

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