Financial Crime Analytics and Automation Expert

London, GB, EC2V 7AD

Paysafe

We have a payment solution for every business. Using our global expertise we can help any business grow, from SMBs to large corporations. See our services here.

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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.

 

Paysafe is currently seeking a Financial Crime Analytics & Automation Expert.

 

What Paysafe stands for:

  • Being open and honest.
  • Keeping focused.
  • Operating with Courage.
  • 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:

 

  • Daily review of big data for identifying suspicious activity and spotting organized crime indicators
  • Standardize / implement new data visualisations on financial crime typologies across the investigations / financial crime intelligence teams
  • support the financial crime teams with data extracts and detailed reviews
  • Explore and introduce automation across financial crime data and case handling / review
  • Monitor the efficiency of controls and processes
  • Collaborate with the Data Science team on machine learning models development for financial crime purposes
  • Collaborate with the Data Analytics team on Snowflake Tables mapping, KPI management, data developments and automation

 

What we’re looking for:

  • University degree in Computer Science, Statistics
  • Interest and experience in automating manual processes
  • Past focus / experience in data analytics, machine learning, optimization
  • Experience using SQL, Python, PowerBi, Tableau, Splunk, R, Stata  
  • Knowledge of prepaid products, cards, banking, e-wallet solutions or cryptocurrencies privately or professionally
  • Excellent MS Office knowledge
  • High attention to detail, good analytical skills and logical thinking
  • Strong communication and interpersonal skills
  • Strong initiative and dedication to quality
  • Adaptability, flexibility & willingness to embrace change
  • Self-motivated, with strong sense of initiative and quality
  • Full proficiency in English

 

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 roof top 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:

  1. Phone screen with Talent Acquisition
  2. Video interview with the Senior team member
  3. Video interview with Hiring Manager  
  4. 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.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Banking Big Data Computer Science Data Analytics Machine Learning ML models Power BI Python R Snowflake Splunk SQL Stata Statistics Tableau

Perks/benefits: Career development Flex hours Gear Health care Snacks / Drinks Startup environment Team events Yoga

Region: Europe
Country: United Kingdom

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