Consultant – Compliance Data Science & AI

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 Sias 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 firms 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. 

Qualifications :

• Masters degree or Engineering degree (or equivalent) in Computer Science Engineering Data Science or a related quantitative field. 
• 2 years of experience as a Data Scientist or Data Analyst. 
• Strong programming skills particularly Python and SQL. 
• Proficiency in at least one major GenAI application framework (LangChain LlamaIndex etc.). 
• Experience with cloud platforms (AWS Azure or GCP). 
• Knowledge of both proprietary and open-source model ecosystems (OpenAI Anthropic Mistral AI Hugging Face etc.). 
• Excellent communication skills with the ability to explain complex technical concepts simply. 

Preferred technical experience:  

• Experience building agentic AI systems.  
• Good understanding of machine learning techniques. 
• Good understanding of statistical techniques and concepts. 
• Experience with data visualization tools. 
• Experience developing conversational AI systems / chatbots. 
• Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases such as the Model Context Protocol (MCP). 
• Experience deploying models at scale in production environments. 

Preferred industry sector experiences  

• Regulatory Obligations Management: Analyze and document legal/regulatory requirements to maintain and update the clients RCM obligations library 
• Control Design & Implementation: Design and implement operational controls and compliance frameworks to ensure regulatory adherence 
• Risk Assessment & Testing: Lead RCSAs thematic reviews and control testing to identify compliance and operational gaps 
• Regulatory Analysis & Strategy: Interpret emerging regulatory trends and enforcement actions to inform compliance strategy 
• Compliance Best Practices: Develop and maintain compliance best practices 
• Regulatory Interpretation & Controls Mapping: Interpret laws and regulations to assess applicability and map obligations to controls 
• Risk & Compliance Transformation: Support transformation engagements across first-line (controls design/testing) and second-line (risk compliance) functions 

Additional Information :

Compensation & Benefits 

Sia invests in total rewards that support how our people work live and grow. 

Compensation 

• Base Salary: $. Actual compensation within this range will be determined based on experience qualifications geographic location and other job-related factors permitted by applicable law. 
• Annual Performance Bonus  

Benefits 

• Medical dental and vision; company-paid life and AD&D; voluntary supplemental insurance and EAP 
• 401(k) with company match and immediate vesting; HSA and FSA options 
• College savings and student loan repayment programs 
• Paid parental leave; generous PTO nine company holidays and one floating holiday 
• Cell phone stipend; well-being and professional development programs 

Benefits are subject to applicable plan terms and eligibility requirements. 

Workplace 
Sia values in-person collaboration. When serving clients consultants may be required to work onsite at a client location based on engagement needs. Between client engagements consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets including New York City Charlotte Greater Seattle San Francisco Greater Bay Area Los Angeles Houston Atlanta Baltimore Chicago Washington D.C. 

Work Authorization 

Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future. 

Our Commitment 

At Sia we believe in fostering a diverse equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging.  

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 

Remote Work :

No

Employment Type :

Full-time