Job description

To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Risk, Compliance and Regulatory topics and challenges.

Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and compliance departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support.

These engagements require the implementation of complex analyses to support our clients, notably in:

• Forward-Deployed Engineering
• Generative AI, Machine Learning & Statistics
• Data Analysis for strategic support
• Data Engineering & DevOps
• Data Transformation & Acculturation

A few examples of engagements:

• Predictive compliance risk monitoring: Building automated data pipelines and dashboards to track operational metrics and forecast the future health of compliance workstreams, enabling proactive risk identification and mitigation.

• AI-powered regulatory intelligence: Designing and deploying a GenAI-driven system that monitors regulatory change in real time, structures obligations, maps them automatically to internal policies and controls, scores compliance gaps, and orchestrates remediation workflows - all with a full source-of-truth audit trail for compliance, risk, and legal teams.

• Analytics/ML models for AML compliance: Built and refined ML models to automate due diligence and ID verification workflows, reducing manual review time. Managed third-party data integration and collaborated with Legal and Engineering to ensure compliant deployment.

As part of the firm's internal activities, your contribution will focus on the following areas:

• Developing or strengthening our offerings through training, working groups, and internal/external materials.
• Our publication strategy (sector blogs, studies, press coverage). \
• Business development, by contributing to the definition of client needs and participating in sales activities.

Key Responsibilities:

• Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs.
• Identify, acquire, process, and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms.
• Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral.
• Develop GenAI-powered applications (self-managed and API-based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses).
• Design and optimize prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails) to improve reliability and control.
• Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes.