Offer summary

Qualifications:

University degree in mathematics, statistics, data science, or a comparable field., Experience with Data Science, Machine Learning, and AI., Advanced skills in Python and SQL; knowledge of Spark and Javascript is a plus., Solid English communication skills for interaction with English-speaking stakeholders..

Key responsabilities:

Develop AI/machine learning models to support risk strategies.

Conduct analysis to measure and compare model performance.

Collaborate with ML Engineers to deploy models in Trustly's decision engine.

Monitor risk trends and provide optimization adjustments as needed.

Job description

WHO WE ARE

At Trustly, we’re on a mission to deliver a better way to pay and get paid. Consumers deserve a payment option that prioritizes financial responsibility, and merchants should have the independence to accept payments without unnecessary costs. This mission drives everything we do.

We’re revolutionizing the payments industry by making Pay by Bank the new standard at checkout, providing a smarter payment option to credit and debit cards. For merchants and consumers, this means the freedom to make and receive payments with greater security and ease.

Fueled by this purpose, we’ve grown into a global network connecting 9,000 merchants to 650 million consumers through 12,000 banks across 33 countries, processing over $58 billion annually. As the leader in Pay by Bank, we aim to redefine the payments experience by delivering exceptional products and unmatched value.

With regional offices in Vitória, Brazil and Silicon Valley, USA, and our global headquarters in Stockholm, Sweden, we are a diverse team that spans over 30 nationalities. Embracing a culture of innovation and collaboration, our 'work from anywhere' policy allows employees in Brazil, the U.S., and Canada to work remotely within their country of residence, enabling flexibility while staying connected to our global team.

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.

Now is the perfect time to join us and help accomplish our mission. If you’re inspired by purpose, thrive in a fast-paced and entrepreneurial environment, and are ready to shape the future of payments, we’d love to hear from you!

About the team

The 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 you'll do:

Develop new novel and state of the art AI/machine learning models to support risk strategies;

Recommend data-driven, risk-based business decisions to positively impact KPIs across Trustly's payment portfolio;

Conduct analysis to measure model performance, compare performance across multiple models, and influence model strategy and selection decisions;

Collaborate with ML Engineers to deploy AI/ML models and strategies in Trustly's decision engine;

Explore raw source data, feature research and engineering, supporting decision capabilities;

Support development and maintenance of risk modeling infrastructure, working closely with ML Engineers and ML Ops;

Develop data and business-driven risk prevention rules and strategies;

Monitor risk and decisions trends and performances, provide ongoing optimization adjustments as needed;

Who you are:

University degree in mathematics, statistics, data science or another comparable field of study;

Experience with Data Science/Machine Learning and AI;

Experience developing statistical/machine learning/AI models and experiments;

Advanced skills in Python and SQL – Spark and Javascript also nice to have;

Understanding of feature engineering and model development life cycle;

Must have solid English skills to be able to communicate with English-speaking business stakeholders;

It will be a plus if you have risk experience in financial services, fintechs or similar industry.

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;

Wellhub - Platform that gives access to spaces for physical activities and online classes;

Trustly Club - Discount at educational institutions and partner stores;

English Program - Online group classes with a private teacher;

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 and individual performance;

Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!

Check out our Glassdoor or our Brazil Life page on Linkedin for more details about Brazil, our culture, and much more.

#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.

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