Who we are Xenon is a new Fintech player specialising in Debt-as-a-Service ("DaaS"), targeting partners who serve the SME banking and lending segment within the UAE. We tackle the difficulty most local SMEs face when seeking credit, by removing the barriers that traditional banks in the UAE enforce. We want to make accessing credit simple, digital, and beneficial for those who need it most, local SMEs. [Stealth] is also backed by a newly launched investment fund from the region, ensuring an unfair advantage from day one. Responsibilities
Applying your expertise in quantitative analysis, data mining, and the presentation of data
Exploring and adopting new data sources that improve efficacy of new credit models
Understand how users interact with our products, and use those insights to drive product strategy
Guide and enable product teams to measure things that really matter, when it comes to lending. For example, initiating and running A/B experiments to keep improving everything we do
Drive together with the risk team a unified understanding of credit risk and loan profitability
Determine how different lending products impacting user profitability, costs, and operations
Liaise with our development team to make sure we collect the right data points and insights
Selling the vision of advanced analytics and data-based decision making to wider stakeholders
Keeping up-to-date with new developments and regulatory issues that may affect our business
About You
Experienced data science professional with relevant qualifications and experience
5 to 7 years experience of working within the financial services, specifically data science
3 to 5 years exposure within the Retail or SME lending credit risk segments
Analytical background, with a history of presenting findings to internal and external stakeholders
Have the confidence to build a new data science team, and lead it in the future
Experience of building and improving data science models within Retail or SME lending segments
You are aware and comfortable with new technologies that can support date science models
You have previously worked for a local bank or fintech company in the UAE
You are currently based within the UAE (Abu Dhabi or Dubai)
Written and oral fluency in English, and the ability to communicate effectively to stakeholders
Nice to haves
You have a proven track record as a credit risk analyst, supporting companies short-term
Written and verbal fluency in Arabic
An extensive local network (UAE), both within the startup ecosystem and financial services
Why you shouldn\'t apply If you feel that your experience and qualifications don\'t somewhat match the above, or you are unable to commit to an entrepreneurial journey within the next month, this may not be the position for you.
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