Fraud Analytics

Why Kueski

"DO TECH SHARE WEALTH”

Kueski is a technology company that provides digital financial services to the underserved in Mexico. The company uses advanced artificial intelligence and machine learning tools to conveniently evaluate creditworthiness and disperse loans in a matter of seconds. The company is working to close the “access to credit” gap by creating a digital financial ecosystem in a country where a large part of the population does not have access to safe solutions that allow them to create a healthy credit history.

Kueski is a startup with a presence in Silicon Valley and Guadalajara. Our investors: CrunchFund, Core Ventures Group, Sobrato, and Ariel Poler are between the best in the World having invested in companies such as Uber, Pinterest, FourSquare, Airbnb, and Square.

Benefits and Perks:

• Stock Options.
• Major medical insurance.
• Flexible work time, including working from home.
• 10 days of vacations. You decide when to take vacations. Hard work deserves a good rest.
• Breakfast, lunch, snacks… food 24 hours.
• Nap room. (For those moments of nap time).
• Developer-creative oriented workspace.
• Pantry Vouchers
• 30 day Christmas Bonus.
• No dress code but PLEASE, come dressed!.
• Law benefits.

Why you

If you have:

• 4+ years of experience in fraud prevention, risk analytics, consumer lending, underwriting strategy, transactional fraud risk management or consultancy on related areas.
• Demonstrated track record developing and deploying effective controls and manage fraud prevention of transactional risk management and fraud prevention across revolving line of credit, credit card or deposit products at an issuer or payment network.
• Proven experience in detection and mitigation practices for different fraud types, such as identity theft, first party fraud, and synthetic identity fraud in e-commerce and/or consumer lending transactions.
• 1+ years leading analytical teams is desired.

Kueski responsibilities:

• Usual:
• Build detailed analysis in order to identify and prevent fraud patterns, keep key stakeholders and ensure that relevant concerns are timely escalated.
• Identify material matters related fraud identification, propose follow-up actions and ensure the appropriate deployment of mitigating actions required and track results.
• Compute key performance indicators to get an accurate measurement of mitigating actions in place, risks faced and opportunities to improve.
• Periodic:
• Based on an analytical approach, design solutions to prevent fraud during the credit operations and along the purchase processes with partners, while minimizing users friction.
• Propose fraud prevention strategies focused on loan acceptance criteria, assessment of users and partner related.
• Develop analytical tools to be integrated in monitoring systems, onboarding and management processes of fraud prevention among users and partners.

• Keep connected with the organization in order to understand the business needs and communicate fraud perspective.

• Occasional:

• Collaborate on discovery, evaluation and deployment of analytical tools, including relevant data sources, model building, infrastructure and decision engines related to fraud.

You will need to be successful:

• Keep informed about best practices in the industry in order to optimize fraud prevention strategies and loss rate mitigation capabilities.
• Build analysis and proposals including: economic results, customer experience and business sense.
• Keep connected and collaborate with other Risk areas and across the organization, with a special focus on Product, BDI and Data Science teams.

KPI's or metrics to measure the success of the position:

• Volume of fraud cases prevented, controls effectiveness, Charge-offs due to fraud, approval rate of fraud criteria, false positive and false negative levels

Location:

Onsite position: Guadalajara, Jalisco

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