Trustly

Associate Risk Data Scientist

Job description

Who We Are

The 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 Team

The Risk team are 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 statistical / machine learning models to predict potential risks and mitigate losses;
  • Measure model performance and compare multiple models to influence risk strategy;
  • Deploy risk models in production for real-time decisioning;
  • Analyze raw source data and develop risk model features (in partnership with engineering) to boost model performance;
  • Support development and maintenance of risk model 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:

  • University degree in Mathematics, Statistics, Engineering or any comparable field of study;
  • Experience developing statistical / machine learning models and tests;
  • Understanding of feature engineering and model development process;
  • Intermediate or better skills in Python and SQL;
  • 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;
  • Sulamérica 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!

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

  • 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.

Want to make a difference in a fast-growing business? Apply now!

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