SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Bitpanda is a Vienna-based fintech platform founded in 2014 that enables millions of users across Europe to invest in cryptocurrencies, stocks, precious metals, and commodities. The company operates as a Series C-funded venture with a global team spanning multiple European offices.
As an Associate in Anti-Financial Crime (AFC) Compliance, you will bridge regulatory compliance, data engineering, and operational automation. Rather than handling routine customer onboarding, your focus will be on building intelligence into Bitpanda's AFC compliance architecture and strengthening defenses against financial crime across Europe.
Key responsibilities include:
• Design, build, and maintain interactive AFC compliance dashboards and monitoring tools that track risk metrics, alert volumes, SLA performance, and regulatory reporting indicators for Compliance and Senior Leadership stakeholders.
• Conduct regular quantitative testing and assessment of existing AFC controls (AML, CTF, sanctions, transaction monitoring) to identify coverage gaps, false-positive trends, and operational bottlenecks. Support conceptualization and deployment of new, data-driven compliance controls.
• Identify manual workflows within the AFC team and engineer automated solutions. Drive projects to integrate AI agents, LLM workflows, and low-code automations to streamline compliance investigations, data extraction, and routine decisioning.
• Query complex financial datasets to extract actionable risk insights, uncover hidden transactional patterns, and conduct root-cause analyses on control failures or suspicious activity trends.
• Collaborate with Product, Tech, Data, and Operations teams to translate regulatory requirements into functional technical specifications, ensuring seamless deployment of automated control updates.
The role offers hybrid flexibility with 25 additional days per year to work remotely from any location, stock option participation, mental health support, continuous learning via Udemy, and onsite perks including free dining in Vienna.
REQUIREMENTS:
• Educational Background: Degree (or currently enrolled in an advanced program) in Data Analytics, Business Informatics, Computer Science, Finance, Economics, Law, or related field—combining analytical mindset with interest in regulatory risk.
• Data Analytics & SQL Competence: Hands-on experience extracting, manipulating, and visualizing structured data. Strong command of SQL (e.g., Snowflake SQL) and experience with dashboarding tools (e.g., Tableau, PowerBI, Metabase, or similar) is essential.
• Process Automation & AI Agents (Great Advantage): Demonstrated experience or strong practical knowledge in process automation (Python scripts, APIs, workflow tools) and building or deploying AI agents / LLM workflows to enhance operational efficiency.
• Control & AFC Understanding: Familiarity with Anti-Financial Crime (AML, CTF, Sanctions, Transaction Monitoring) concepts, control testing frameworks, or risk-scoring mechanics, preferably within banking, fintech, crypto, or payment services under EU/Austrian regulations.
• Language Skills: Excellent written and spoken English. German proficiency is considered a strong plus.
