Senior Internal Auditor, Data Analytics
Sofia, 23, BG
Paysafe
Wir haben eine Zahlungslösung für jedes Unternehmen. Mit unserem globalen Fachwissen können wir jedes Unternehmen beim Wachstum unterstützen – von KMU bis zum Großkonzern. Entdecken Sie hier unsere Dienstleistungen.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 25 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.
A Senior Internal Auditor, Data Analytics (DA) contributes to the value of the Group Internal Audit function by performing and/or overseeing data analytics and data science that enhances the efficiency and effectiveness of Paysafe Internal Audit, to achieve their objectives, mission and vision. They participate as specialist front-to-back analytics support for a portfolio of audit teams and support the development of the function in core Data Analytics knowledge and proficiency. In addition, they play a lead role in driving Paysafe Internal Audit’s innovation goals by proactively identifying, upskilling and delivering on innovation projects, automation opportunities and analytics capability enhancements.
What to expect:
- Taking ownership for the technical delivery of Audit DA testing strategies across the team, presenting the results of testing performed in optimal ways.
- Owning subject matter expert oversight for a portfolio of audit teams re: DA planning, execution and documentation, to ensure audits are impactful and delivered to high quality
- Owning technical delivery of prioritised Internal Audit innovation and automation projects and proactively driving identification of these.
- Overseeing and reviewing technical delivery of Audit DA testing strategies delivered by other team members.
- Coaching and supporting the broader team on opportunities to use DA techniques, to build in-house DA knowledge / competency.
- Attending industry events with the Data Analytics Director, to stay abreast of emerging technologies or data science techniques being used in internal audit.
- Proactively upskilling in emerging technologies or data science techniques (such as Generative AI and automation approaches) to support Paysafe Internal Audit’s insights and innovation aspirations.
- Building strong relationships with the wider Internal Audit team and key Paysafe data source SMEs and automation teams, to support effective data understanding and automation delivery.
To be successful you need to have:
REQUIRED
- 3+ years’ experience of Python and SQL coding to perform analytics and data science in a professional environment
- Experience of delivering advanced data science techniques (e.g. core machine learning approaches)
- Experience of automating repeat analytics requirements
- Strong Innovation mindset – challenging the status-quo to drive improvement
- Strong project management skills
- Strong communication and organisational skills
- Strong academic record, including bachelor or higher degree equivalent, preferably in an applied maths subject (e.g. Data Science, Computer Science etc)
DESIRED
- Experience of automating processes / engineering hosted analytics for use by non-technical colleagues
- Experience of analytics innovation – such as the use of Gen AI within processes
- Strong track record of continuous self-development (e.g. data science qualifications or certifications)
- Strong stakeholder relationship management experience
- Coaching or people development experience
- Experience of internal/external audit, risk, compliance or other assurance discipline
We offer in return:
- The opportunity to write the history of a leading and growing multinational company
- Tailor-made training and ongoing development to help you enhance your skills in the field of online payments
- Multiple career progression opportunities in a dynamic in-house business
- Environment where product expertise, professional and personal commitment are rewarded
- Competitive remuneration and social benefits package (25 days annual paid leave, 4 days paid volunteering time a year through our Paysafe Giving initiative, health insurance, sports card, team events, company discounts, variety of soft skills, business and technical training programs)
- Fun and collaborative working atmosphere
- Flexible working model - we encourage our employees to embrace our flexible working approach. You will be expected to work from home and spend an average of three days a week at our Sofia office as part of our hybrid work model
Are you ready to take your career to the next level? Join our team that is inspired by a unified vision and propelled by passion.
Send your CV in English.
Only shortlisted candidates will be contacted for an interview.
Wondering how our interview process looks like now? Learn more here: https://bit.ly/paysafeinterviews
Equal Employment Opportunity
Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments please let us know. We will be happy to help and look forward to hearing from you.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Engineering Generative AI Machine Learning Python SQL Testing
Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Team events
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