(Senior) Data Analyst - Risk & Compliance
Berlin, Germany
SumUp
4 million small businesses use SumUp to run their business. Explore our affordable payment solutions and easy to use point-of-sale solutions.At SumUp, small business owners are at the heart of everything we do. That’s why we create powerful, easy-to-use financial solutions to help them run their businesses.
In the Risk & Compliance tribe we ensure SumUp remains compliant with legal and regulatory requirements in all locations where we have a banking licence. Our tribe plays a crucial role in ensuring SumUp maintains a high level of integrity and compliance with applicable laws and regulations, while also protecting the company and its customers from risk and fraud.
You would collaborate with two cross-functional squads:
The Merchant Protect squad focuses on managing fraud risk and AML activities throughout entire merchant lifecycle, having a strong focus on onboarding (before transactions: anomaly detection, login and registration data, risk scoring), as well as also managing fraud and AML risk based on merchant behaviour through the whole lifecycle.
The Operational Efficiency squad’s mission is to improve operational efficiency by automating manual processes in Risk & Fraud and AML Operations. It achieves that by building back-office applications and services powered by generative AI, as well and providing datasets necessary for effective operations.
Join our team as a (Senior) Data Analyst and contribute informing our risk and compliance operations teams with the needed tools and processes to mitigate fraud and ensure compliance in a highly regulated environment, you'll not only apply your expertise to the challenges of a complex and evolving domain but also actively contribute to the broader data analytics team.
What you’ll do
- Working in two cross functional teams and creating visibility of their impact
- Ensuring the relevance and correctness of KPI definitions, as well as their underlying datasets and dashboards
- Building, maintaining and delivering high quality, timely data marts based on a wide spectrum of data sources from within SumUp that allow the squads to measure the impact of their solutions
- Analysing data sets to spot trends and patterns that can be translated into actionable insights and conduct ad hoc analyses to address pressing questions around both the merchant lifecycle as well as internal AML & fraud operations
- Working with other engineering teams to accurate and up to date data products that can drive the decision-making process
- Proactively analysing patterns in the data that create opportunities for further product improvements for both squads
- Collaborate with product and engineering management to define clear team KPIs and data models to ensure data driven workflow and prioritisation in the team
You’ll be great for this role if you
- Have progressive experience as a Data Analyst, highly preferable within a financial domain
- Experience in data warehouse principles (ideally Snowflake), architectures, and data transformation technologies such as dbt
- Writing, optimising, and validating SQL queries is part of your day-to-day
- Have a habit to question the data as well as the drive to really understand what the data represents
- Have experience in using Python to run, adapt and extend existing data collection and visualisation code
- Understanding version control concepts and Git operations
- Ability to digest information, and data and deliver recommendations
- Ability to derive conclusions with analytical evidence using descriptive statistics, basic inferential statistics, and data visualisations - ideally with Tableau
- Proven track record of stakeholder management skills, ability to challenge, refine and prioritise competing stakeholder requests
- Having a foundational understanding of basic software development concepts will support you in your collaboration and understanding of the Engineering and Product team’s needs
Nice to have
- Payments fraud or financial compliance domain expertise
- Advanced experience in programming languages like Python for data analysis and manipulation
- Familiarity with libraries such as Pandas, NumPy, and Scikit-Learn is a plus
- Defining and running A/B tests and knowing when results are statistically significant
- Previous exposure to dynamics of startups or scale-up organisations
- Proven track record of leading large and complex projects, demonstrating adaptability and concise communication skills
Additional Information
Start date: as soon as possible
Permanent contract: full-time or near-full-time (30-40h)
Location: On-site role in Berlin (office first set up)
Interview Process Overview
- Recruiter Interview - 45 minutes
- Hiring Manager - 60 minutes
- Technical Interview with practical component - 60 minutes
- Team Interview - 45 minutes
- Domain interview - 45 minutes
- Bar Raiser Interview - 60 minutes
Learn more about how we hire here
Why you should join SumUp
- The opportunity to work on large scale fintech products used by millions of small businesses around the world
- Work on a high impact squad that is at the core of the Risk & Compliance Tribe
- A dedicated annual Learning & Development budget for attending conferences and/or advancing your career through further education
- Enrollment onto our virtual stock ownership program - you will own a stake in SumUp’s future success
- A corporate pension scheme
- You'd enjoy other great benefits such as Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches and other location-tailored benefits, Babbel language platform subscription and more
- You’ll attend global offsites and/or hackathons
- Join a truly global SumUp team of 3200+ people from 80+ countries, spread across 4 continents
About SumUp
We believe in the everyday hero.
Small business owners are at the heart of all we do, so we create powerful, easy-to-use financial solutions to help them run their businesses. With a founder’s mentality and a 'team-first’ attitude, our diverse teams across Europe, South America, and the United States work together to ensure that the small business owners we partner with can be successful doing what they love.
SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions on the basis of race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. SumUp also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
SumUp will not accept unsolicited resumes from any source other than directly from a candidate.
Job Application Tip
We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Architecture Banking Data analysis Data Analytics Data warehouse dbt Engineering FinTech Fraud risk Generative AI Git KPIs NumPy Pandas Python Scikit-learn Snowflake SQL Statistics Tableau
Perks/benefits: Career development Conferences Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs