Senior Product Analyst

About the role

Join our Anti-Financial Crime (AFC) team to transform complex data into effective defenses against financial crime. In an AI-driven environment, you will focus on sophisticated threat detection and building advanced security measures. You will own the analytical backbone of our defense strategy, ensuring that every insight directly strengthens our protective capabilities. This role requires a deep partnership with cross-functional teams to embed security intelligence into the core of our product logic. You will be the primary interpreter of risk data, converting complex signals into narratives that drive product decisions. The position sits at the intersection of data science and product strategy, demanding rigor and curiosity in equal measure. You will play a key role in shaping the future of financial security for our users through disciplined investigation. Success in this role is defined by your ability to reduce financial crime without compromising user experience.

Key facts

What you'll do

• Investigate data streams related to fraud, money laundering, and user behavior to uncover hidden vulnerabilities in existing detection frameworks.
• Scrutinize user activity patterns to isolate legitimate transactions from those exhibiting characteristics of potential illicit behavior.
• Engineer, deploy, and iterate upon layered detection strategies targeting fraud, anti-money laundering, and sanctions compliance objectives.
• Monitor emerging criminal methodologies and propose data-backed countermeasures to neutralize new threats before they escalate.
• Enhance fraud detection precision while ensuring legitimate user journeys proceed with minimal friction and interruption.
• Design and execute controlled tests and multivariate analyses to quantify the impact of strategic changes on fraud volume and alert correctness.
• Audit active alerts, deconstruct false positives and false negatives, and refine system logic to boost overall detection accuracy.
• Liaise closely with Product, Engineering, and Data Science squads to evolve risk models, alerting architectures, and automated mitigation workflows.
• Leverage AI and LLM tools to accelerate investigation cycles and streamline complex analytical workloads.
• Synthesize findings into clear, visual reports that map risk trends, evaluate rule efficacy, and contextualize the evolving threat landscape.
• Establish feedback loops with operational teams to ensure that analytical outputs translate into tangible security improvements.
• Prioritize analytical initiatives based on potential impact on financial risk reduction and regulatory alignment.
• Maintain a detailed understanding of the product surface area to ensure analytical work remains contextually relevant.
• Document methodologies and assumptions to ensure transparency and reproducibility in analytical processes.

Requirements

• Bring a minimum of 4 years of professional experience in a product analyst capacity, with a focus on high-stakes environments.
• Demonstrate expert proficiency in SQL, including the capacity to compose and optimize complex queries that perform at scale.
• Show strong command of data visualization tools to convey insights effectively to both technical and non-technical audiences.
• Prove experience using AI tools as integral components of your analytical workflow, moving beyond experimental use to production application.
• Exhibit the ability to translate intricate data insights into coherent business explanations that resonate with diverse stakeholders.
• Maintain upper-intermediate English language skills to navigate documentation, communication, and analysis requirements.
• Adhere to strict ethical standards and data privacy protocols in all investigative and analytical work.
• Thrive in a fast-paced setting where priorities shift and analytical ownership is essential.

Nice to have

• Grasp of applied probability theory and mathematical statistics, including the design of A/B tests and causal inference models.
• Hands-on experience using Python for data analysis, leveraging libraries such as NumPy and Pandas to handle complex datasets.
• Familiarity with risk management frameworks, compliance procedures, and established fraud prevention methodologies.

Skills & tools

• SQL
• Data Visualization Tools
• AI Tools
• Python (NumPy, Pandas)

Practical notes

• This role can be fully remote.
• Relocation support to Cyprus is available for those who wish to move to Limassol.
• A budget for learning and development is provided.
• Paid vacation and sick leave are standard benefits.
• Sports compensation is offered.