About GSS
Hello. Welcome to GSS! We are a Network-Driven Managed Service transforming the global financial system with cutting-edge technology, including AI/Machine Learning and collaboration with top financial institutions. GSS will become the industry default for screening transactions for sanctions risk – through a consistent, standardised, and scalable model. Supported by regulators, trusted by the market. Join us in revolutionising the industry and making a real impact!

About the Role
We are looking for a talented Data Analyst (known internally as a 'Tuning Analyst') to join our Tuning Team within our Product Department. The role focuses on utilizing data analytics to optimize effectiveness and efficiency of the GSS screening solution across various message, list and geographical scope. Projects cover Proof of Values (POVs), integrations with new clients and improving results for existing clients. The right candidate will have an analytical mindset, technical background, desire to learn and an interest in Financial Crime Compliance.

What you’ll do
Key responsibilities in this role will include (but not be limited to):

• Build a good understanding of the GSS solution, configuration options and impact of configuration changes

• Perform data analysis, in Python and/or SQL, to identify opportunities to improve effectiveness and efficiency of the GSS solution

• Perform data analysis, in Python and/or SQL, to understand performance of client’s solution

• Create client-facing reports to describe performance of GSS solution against defined success criteria

• Build and maintain ETL processes in Python

• Optimize processes through project learnings

• Identify opportunities for improvements within the GSS solution through project learnings

About you
Required

• Degree in Mathematics, Science, Computer Science or similar

• Minimum 2 years of work experience in a data analytics role

• Proficiency in Python programming, SQL scripting and SQL databases

• Ability to analyse information (identify trends & patterns) and present a summary of results

• Fluent in written and spoken business English

• Occasional travel to client site or otherwise

Desirable

• Experience in statistical modelling, and analysis using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering

• Experience in analysing data in payments platforms including SWIFT, ISO20022

• Experience working with XML data structures and JSON data formats

Personal competencies

• Strong analytical, organisational, facilitation, and communication skills (both written and oral)

• Curious mindset and ability to learn independently

• Pro-active and self-motivated with a desire to learn

• Ability to multi-task. Able to manage competing priorities and find simple solutions

• A keen attention to detail

• Flexible and able to adapt to rapidly changing situations

• Resilient, able to provide positive clear direction in difficult situations

• Inspires others

• Team building and relationship building skills

• Confident, personable and approachable

• Tenacious, delivery focused and results driven

• Interest in working in a fast-paced and future-oriented diverse environment

Why GSS?
🚀 Impactful Work: Be part of a growing startup where your contributions make a real difference.

🏖 Generous Leave: Enjoy 30 days of holiday (plus bank holidays).

💷 Comprehensive Benefits: Including a generous pension scheme, annual discretionary bonus, private medical insurance, and life assurance.

👩‍⚕️ Wellbeing Perks: Access to EAP, YuLife, holistic wellbeing programs, and a Virtual GP for your health and happiness.

🤸‍♀️ Flexibility: Hybrid working environment (we are open to remote working for some roles, please check with us at application) with a ‘work abroad’ policy for up to 4 weeks a year.

👩‍🎓 Learning: Access to Udemy, a learning platform with thousands of top-rated courses to develop both tech and business skills.

Ready to revolutionise finance and have fun doing it? At GSS we live by our values: Respect, Ownership, Synergy, Efficiency and we are building something transformational together. Join us and take your career to the next level.

Diversity statement

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, gender, sexual orientation, gender identity, national origin, age or disability.