This job will develop and implement data science models and algorithms to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.
Essential Responsibilities:
- Develop and implement data science models and algorithms.
- Analyze and interpret complex data sets.
- Ensure data quality and integrity.
- Collaborate with stakeholders to understand data requirements.
- Optimize data processes for efficiency and performance.
- Perform advanced statistical analysis and reporting.
Minimum Qualifications:
- Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
Additional Responsibilities & Preferred Qualifications
Summary:
What you need to know about the role
• Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth
• You will work with a team of global risk professionals focusing on managing the Americas acquisition strategies to support the growth of Small Medium Business (SMB) line of business Globally
Meet our team:
• This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks.
Your way to Impact
- You will provide solutions to address tactical and strategic business problems with your strong analytical skills and support the profitable growth of SMB portfolio.
- You will work closely with business stakeholders to develop an acquisition roadmap to support profitable business growth and trade-offs. Defining team objectives and executing on those objectives to drive profitable growth across the different regions, with particular focus in the American region
Your day-to-day
In your day-to-day role you will:
- Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs.
- Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency.
- Continuously manage credit exposure and conduct sensitivity testing to optimize strategy.
- Work closely to evaluate internal models and implement them in our risk strategies.
- Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel.
- Be the voice of risk management and help solve complex problems within defined risk box
What do you need to bring
- 2+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses.
- Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth.
- Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition.
- Having experience in a Fintech working with Product and Engineering organization is a plus
- Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure
- A high level of intellectual, professional, and interpersonal agility/flexibility, combined with stronganalytical/problem-solvingskills
- Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap.
- Strong communication skills in explaining complex matters in a simple and clear manner.
Our Benefits:
Any general requests for consideration of your skills, please