Risk Decision Strategist

About Paysafe

Paysafe is a global payments platform that powers the experience economy, with a strong focus on the iGaming, gaming, eCommerce, retail, travel, and hospitality sectors. With 30 years of experience in payment technology, Paysafe helps businesses and consumers enhance every experience through secure and seamless payment solutions, including card payments, digital wallets such as Skrill, eCash solutions like PaysafeCard, and a wide range of local payment methods. With approximately 2,900 employees across 12 countries and an annualized transaction volume of USD 167 billion in 2025, Paysafe connects people and businesses worldwide through innovative digital payment experiences.

Hybrid model: 3 days per week in the office + 2 days remote.

Important: CV must be submitted in English.

This role is part of the Risk Systems & Strategy team within the broader organisation led by the Chief Risk Officer (CRO). You will focus on the analysis of merchant risk activities for our merchant products, including, ecommerce, point of sale and eCash solutions, playing a key role in understanding merchant behaviour and influencing the strategic direction of the company. The key stakeholders for this role are the Sr Director of Risk Systems, VP of Risk Transformation, SVP of Financial Risk, and their teams. You’ll identify new risk management & loss mitigation opportunities, highlight how to optimize existing strategies, develop new ones, minimise false positives, and make clear actionable recommendations that drive decision making. 

You’ll become an expert on the merchant risk & fraud risk data, while also working closely with and relying on the support of the data Engineering & data Modelling team. In addition to your work on Merchant risk, you’ll contribute to high-impact strategic projects that offer business-wide exposure and interaction with C-Level stakeholders, helping you to broaden your knowledge and build your personal brand. 

You will have the space to take ownership of projects as well as contribute to the strategy of the Merchant Risk domain. You are comfortable working with projects and tasks where not everything is defined, come up with creative solutions, and involve your manager where support is needed.  

  The impact you will have:

• Undertake deepdive analysis into merchant behaviour to identify patterns, trends, and root causes. Make clear recommendations on how to capitalise on opportunities, feeding into and driving the business strategy with insights. 
• Apply structured problem solving with the ability to logically break ambiguous problems into constituent parts. 
• Analyse the success of risk strategies using advanced approaches such as statistical hypothesis testing, causal inference, A/B testing, and uplift testing. 
• Create self-serve data products and dashboards about the merchant risk programme while ensuring data reliability and accuracy. 
• Contribute to the merchant risk analytics space by helping to define the right data to be collected, collaborating with the data engineering & modelling team to ensure data pipelines & models are working smoothly, and assisting in creating documentation. 
• Communicate effectively to a mixture of technical and non-technical stakeholders of varying seniority. Tell a story with the data and ensure key points and recommendations are understood. 
• Depending on your skillset, either incorporate machine learning techniques (e.g. predictive loss modelling) into your work analysing risk performance or collaborate with Data Scientists to achieve the same. 

What we’re looking for:

• 3+ years of experience in data analytics or machine learning, preferably in fintech or risk systems. experience in a similar data analytics role. 
• Degree educated in a Data Science/Mathematics/Engineering or similar quantitative related degree. 
• Good statistical knowledge e.g. causal inference, hypothesis testing, statistical significance. 
• Advanced SQL & Python skills, experienced user of BI and visualisation tools e.g. Power BI or similar.  
• Able to deconstruct and solve problems, to investigate drivers and figure out why things happen, and being able to “tell the story” when interpreting and presenting actionable data insights. 
• Excellent eye for detail and ability to ensure accurate and objective analysis is undertaken. 
• Have a “Can do” attitude, team player, eager to learn, contribute and share knowledge. 

Nice to haves:

• Knowledge of payments, e-commerce, and gambling markets desirable with understanding of customer and merchant needs in these segments. 
• Experience working with Snowflake and/or AWS Sagemaker. 
• Model Implementation and Optimisation.

Why Work at Paysafe?

• Professional growth: We offer continuous learning and development opportunities to help you advance your career in the dynamic world of online payments.
• Employee benefits: Competitive salary plus private health insurance, cancer insurance, life insurance, 30 days of paid vacation, 4 paid volunteer days per year, summer schedule (December–March), birthday leave, and more.
• Work‑life balance: We are committed to fostering a flexible and balanced work environment, allowing you to thrive both professionally and personally.

Equal Employment Opportunity

Paysafe is an equal opportunity employer and prohibits any form of discrimination based on ethnicity, religion, age, sex, nationality, disability, sexual orientation, gender identity or expression, or any other protected characteristic. This policy applies to all terms and conditions of employment. If you require a reasonable accommodation, please let us know — we will be happy to assist you and look forward to hearing from you.