Data Scientist

Company Description

Envisso is a global fintech founded by a team with deep financial services experience and with backing from some of the world’s leading Venture Capital investors. We are reinventing the way risk is managed in payments, by unlocking the value of the massive amount of data payments companies have access to.

Merchant Acquiring companies (also referred to as ‘Payment Services Providers’ (PSPs)) face risks from the merchants they process payments for, due to the fact that card scheme rules (Visa, Mastercard, Amex and others) require that the payments company is responsible for any failure of the merchant to operate properly or make good on their obligations. Depending on the size and type of the merchant these risks can be significant and PSP’s must take measures to protect themselves against the associated costs.

Envisso is solving this via:

1. Envisso Protect: a first of its kind insurance protection against the cost of default by merchants on their chargeback obligations. Premiums are based on individual merchant risk and are charged as a percentage of payment volumes.
2. Envisso Monitor: uses payments data alongside data from 3rd parties (such as credit reference agencies) and from the merchants own website to automatically monitor merchants for changes in their risk profile.

Within Envisso we are building and deploying best-practice approaches to monitoring and mitigating these risks. We are looking for data scientists to both build using best-in-class techniques, but to also advance the knowledge and approaches in these areas and to help us to continue to build our unique and valuable intellectual property.

We are a remote-first organisation. However, this role is ideally suited to someone based in the UK to facilitate occasional in-person collaboration with clients and the wider team. We believe diverse teams win and welcome applications from people of all backgrounds. Envisso has built a collaborative, flexible and supportive culture where everyone can thrive.

Role Description

We’re looking for someone who is excited at the prospect of facing new and difficult data challenges. Someone who is comfortable working as part of a team who are building things from scratch. We’re looking for someone with deep technical skills, but who is really motivated by making an impact on our business and our customers.

Key Responsibilities

• Use advanced analytics alongside, where necessary account-level reviews to monitor and assess the portfolios of our partners to ensure we obtain and maintain a deep understanding of where the existing and emerging risks are coming from.
• Build, implement and monitor new predictive rules and models which help us expand our capabilities around accurately understanding the level of risk the merchants our partners are presenting.
• Liaise with various payments firms and insurers to understand their needs and help shape the solutions we bring to market.

Role Requirements

• 2-5 years experience conducting analysis in Python and extracting/manipulating data in SQL.
• 2-5 years experience in a quantitative credit risk or fraud role
• Experience with supervised models (e.g. logistic regression, gradient boosting).
• Able to work autonomously and be a proactive problem solver.

Nice-to-Haves

• Experience in consulting and/or start-up environments
• Strong commercial acumen and an understanding of the economics underpinning credit or payments portfolios
• Experience with unsupervised ML methods (e.g. clustering, anomaly detection).
• LLM prompt management or agentic experience
• Good grasp of fundamental principles of credit risk modelling and able to creatively apply them to new problems.

Note: The nice-to-have qualifications are not mandatory but would be considered as additional strengths for the role.

Perks

• Flexible, remote or hybrid working arrangements.
• Opportunities for significant professional growth and advancement within a company at the forefront of transforming risk management in payments.
• Globally-focused company, with exposure to Asian, European and American markets.
• A competitive compensation package, including company equity and performance incentives.
• Private healthcare employee insurance

Join Us!

At Envisso, we believe in the power of diverse teams to drive innovation. We are committed to fostering a collaborative, supportive, and inclusive environment. If you are ready to play a crucial role in shaping the future of payment risk management, we would love to hear from you!