Risk Decision Strategist

Skrill; City Of London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading financial technology company in London seeks a Data Analyst specializing in merchant risk. The successful candidate will analyze trends, develop business strategies, and collaborate with C-level stakeholders. This role requires strong skills in SQL, Python, and problem-solving. A flexible hybrid working model is in place and a variety of employee perks are offered.

Benefits

Flexible working hours

Free breakfast and snacks

Health insurance and dental insurance

Employee-led equality communities

Four paid charity days

Discounts on memberships via vitality

Qualifications

• 3+ years of experience in data analytics or machine learning, preferably in fintech or risk systems.
• Good statistical knowledge, including causal inference and hypothesis testing.
• Excellent attention to detail for accurate analysis.

Responsibilities

• Undertake deep-dive analysis into merchant behavior to identify trends.
• Apply structured problem solving to ambiguous problems.
• Analyse success of risk strategies using statistical methods.

Skills

Data analytics

Machine learning

Problem-solving

SQL

Python

Statistical knowledge

BI tools

Education

Degree in Data Science/Mathematics/Engineering

Tools

Power BI

Snowflake

AWS Sagemaker

Job description

Paysafe Limited ("Paysafe") (NYSE: PSFE) (PSFE.WS) is a leading payments platform with an extensive track record of serving merchants and consumers in the global entertainment sectors. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With over 20 years of online payment experience, an annualized transactional volume of $140 billion in 2023, and approximately 3,200 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 payment types in over 40 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments. Further information is available at www.paysafe.com.

It starts here. Have a global impact on the world of payments.

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 optimise 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.

What Paysafe stands for:

• Being open and honest.
• Keeping focused.
• Operating withCourage.
• Pioneering the future.

Our values and culture are driven by Equality, Development, Social Responsibility and Wellbeing. If you want to find out more about life at Paysafe, check out our careers page here.

How we work:

We follow a hybrid working model, spending an average of three days per week at our office location. The office is located in Gresham Street next to St Paul’s cathedral with easy access and transport links via St Paul’s, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House.

The impact you will have:

• Undertake deep‑dive 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.

A snippet of what you’ll get in return:

• Make your day work for you with our flexible working hours.
• You decide what your holiday looks like with the option to buy or sell your holiday and carry over up to 5 days into the next year.
• Enjoy social events on our rooftop terrace with views onto St Pauls Cathedral.
• Our fully equipped facilities include showers, hairdryers and straighteners and fresh towels.
• Start your day with a free breakfast, fresh fruit and snacks.
• Take a breather in our dedicated wellbeing room.
• Spend time with those important to you with our enhanced paid family policies.
• Test our products Skrill and Neteller. Upon joining we will award you £50 into each wallet.
• Enjoy our discounts on memberships via vitality including, gyms, leisure centres, yoga/Pilates across the country.
• Need a new Laptop or TV? We offer support purchasing Apple and LG products via Stormfront technology.
• Join our six employee‑led equality communities and help foster a workplace that celebrates diversity and create opportunities to collaborate and learn.
• Give back to the community with four paid charity days.
• Kickstart your weekend early with our summer hours during the months of June, July and August with a 3pm finish every Friday.
• Let’s not forget, we also offer: Private health insurance (pre‑existing conditions are included) & dental insurance, income protection, life assurance and more.

What to expect next:

• Phone screen with Talent Acquisition.
• Video interview with the Hiring Manager.
• Second stage interview with the team.
• In‑person final HR interview with Talent Acquisition.

If you’re successful joining the team, you’ll be meeting our CEO in person during our new joiners breakfast in London – a great opportunity to network with your peers.

Equal Employment Opportunity

Paysafe is an equal opportunity employer. We value diversity and are committed to providing a work environment of mutual respect to everyone without regard to race, color, religion, national origin, age, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.