Senior Risk Data Scientist

WHO WE AREThe Trustly Americas team combines PayWithMyBank, a 2012 Silicon Valley startup, with Trustly AB of Sweden, following their 2019 merger. Our team represents 30 nationalities, serving 8,300 merchants, connecting to 650 million consumers, and 12,000 banks across 33 countries. Our global network processes over $42 billion annually.

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 teamThe Risk team is responsible for maintaining the risk controls at Trustly, developing machine learning models and data analysis aimingto 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 you'll 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;

Our perks and benefits:

• Bradesco health and dental plan, for you and your dependents, with no co-payment cost;
• Life insurance with differentiated coverage;
• Meal voucher and supermarket voucher;
• Home Office Allowance;
• Gympass - Platform that gives access to spaces for physical activities and online classes;
• Trustly Club - Discount at educational institutions and partner stores;
• Monthly happy hours with iFood coupon;
• English Program - Here you have space to develop your English, and you can choose an Online Platform or English Classes in company;
• Extended maternity and paternity leave;
• Birthday off;
• Flexible hours/Home Office - our culture is remote-first! You can work in every city in Brazil;
• Welcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats! Spoiler alert: Equipment can be purchased by you according to internal criteria;
• Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs;
• Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!