The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

You: 

Feedzai is seeking a highly motivated and enthusiastic Product Manager with a strong data science background and customer focus to guide the development of data and machine learning model developments for our Digital Trust solution.

As a highly motivated and enthusiastic Product Manager at Feedzai you will play a crucial role in the development of our Digital Trust solution. You’ll be working across Research and Labs, Engineering, Data Science, Business and Design, and Feedzai customers.  Understanding both the technical, analytical and business side of Feedzai’s Digital Trust product solution, you will be responsible for developing analytical models and performance metrics that utilise device, behavioural biometric and cyber threat intelligence signals to build out a persistent re-identification of customer trust / customer threats, and practically drive forward the Digital Trust roadmap.

You will be a self-starter with an ability to think strategically, act pragmatically, and have the tenacity, energy and passion to innovate and implement change within the time and resource constraints of a quickly growing startup environment. Furthermore, supporting customer facing teams within Feedzai, and customers themselves, you will be responsible for ensuring Digital Trust fraud and risk models, and the wider solution is responsive to changing technology standards, data privacy and real-world problems.  Working with customers and keeping up-to-date with new industry and domain threats, new trends, digital behaviours and signal gathering you will help drive the analytical development, governance and reporting of Digital Trust capabilities around Network, Device, Behaviour and Malware related analysis and detection, and help ensure their practical real-world application and usability through machine learning models.

Your Day-to-Day: 

• Research and analysis of key risks within the digital fraud landscape; 
• Supporting the analysis, development, build and testing of new detection model capabilities that utilise data and risk signals from device, behavioural biometric and cyber threat intelligence to recognise user persistency, threat indicators and behavioural anomalies;
• Play a pivotal role in the Product development lifecycle of our machine learning products, bridging product strategy and customer needs with technical delivery and go-to-market machine learning capabilities from Feedzai’s wider Risk Ops architecture;
• Develop product scope and definition for key detection models on the Digital Trust product roadmap, working with all Feedzai teams (e.g. Research/Labs, Engineers, SME, Data Science, etc.) to ensure that technical, PRD and model governance documentation is managed through initiation to completion;
• Engage and work closely with data scientists and engineers, helping prioritise features and validating product development and work on product, model and feature launch plans;
• Work with internal and external customer risk and data science teams to understand and evaluate use-cases, and assess how Digital Trust risk models can evolve in order to help in satisfying their business requirements;
• Work directly with customers to sponsor, integrate and gather feedback on the value of the Digital Trust solution, and how it can be evolved further to target real-world challenges;
• Communicate the product vision and strategy to stakeholders and agile teams and translate it into what needs to be built and evolved;;
• Lead requirements gathering effort on the epics and stories — consulting with Customers, Product, Engineering and Labs/Research stakeholders to define and decompose Technical Stories;
• Work with UX/UI Designers to iterate on the definition of the user experience and features.

 

You Have & You Know-How: 

• Previous experience as a data scientist;
• BS or MS in Computer Science, Statistics, Applied Math or equivalent;
• Strong analytical skills and ability to provide guidance, direction and set measurable goals;
• Strong communication skills, verbal and written, for both business and technical audiences;
• Fluency in English language, written and spoken ;
• Additional language fluency; Spanish and Portuguese preferred.

 

Valued:

• Experience within the financial risk detection and/or digital payments area;
• Experience as a Product Owner or Product Manager, as well as experience driving the development and roadmap of a digital product.

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