Senior Risk Data Scientist

**WHO WE ARE**
- Founded in 2008, Trustly is the global leader in Open Banking Payments, and the U.S. is Trustly’s fastest-growing market. Today we serve 10,000 merchants, connecting them with over 650 million consumers and 7,600 banks in over 30 countries. In 2021, we processed over $20 billion in transaction volume in our global network.

Our digital account-to-account platform redefines the speed, simplicity, and security of payments. Consumers pay for purchases by simply signing into their bank accounts, bypassing the card networks, and never leaving a merchant’s site or app - no credit card numbers or separate account setup necessary. With offices in Vitoria, Brazil, Silicon Valley in the US, and global headquarters in Stockholm, Sweden, we are a culturally diverse team. Across Brazil, we have embraced remote work from home policy.

At Trustly, we believe that inclusion and diversity are essential foundations for building a fair and equitable society. We do not discriminate based on race, religion, ancestry, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, or disability status. Our main goal is to provide a fair, welcoming, diverse environment with opportunities for all collaborators. The stages of our selection process take place online and without distinction of any kind.

It’s a great time to join Trustly as the Americas team is growing fast. If you thrive in an entrepreneurially-minded, fast-paced, casual, professional, positive, and rewarding work environment, check us out

**About the team**
- The Risk team is responsible for maintaining the risk controls at Trustly, developing machine learning models and data analysis aiming
- to mitigate risk. Our mission is to create a framework and infrastructure to manage risk and create long-term competitive differentiation and value for Trustly.

**What will you do**:

- Develop new statistical models to mitigate fraud and funds availability risk;
- Conduct analysis to measure model performance, compare performance across multiple models, and influence model strategy and selection decisions;
- Deploy risk models in the Trustly production system;
- Analyze raw source data and develop risk model features as necessary in partnership with engineering;
- Support development and maintenance of risk modeling infrastructure;
- Develop data-driven and intuition-driven fraud prevention rules;
- Perform ad-hoc analysis on specific risk issues and potential mitigations;
- Develop risk-specific reporting to monitor merchants and rule performance;

**Who you are**:

- Strong experience with Data Science;
- Risk experience in financial services or similar industry;
- Strong experience developing statistical/machine learning models and tests;
- University degree in mathematics, statistics, data science, or another comparable field of study;
- Advanced skills in Python;
- Understanding of feature engineering and model development process;
- Strong to advanced SQL skills;
- Must have solid English skills to be able to communicate with English-speaking business stakeholders;

LI-Remote
- #LI-CHERRYNE-TRUSTLY

At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.