Analytics Lead- Data & Analytics [T500-26257]

About Comply:

Comply is a global leader in regulatory compliance software for financial services, offering a scalable SaaS platform backed by expert consulting. Serving thousands of firms worldwide, Comply empowers broker-dealers, investment banks, RIAs, and more to manage compliance effectively.

At Comply India, engineers build impactful, client-focused solutions using AI and emerging technologies, with strong ownership and growth opportunities.

Data and Analytics at Comply:

Comply is the world’s leading aggregator of financial and regulatory data to support compliance. Our mission is to help financial institutions meet their regulatory obligations with confidence, clarity, and speed. We ingest, process, and enrich vast volumes of complex, high-variance data from hundreds of brokers, data providers and other sources of information across the US and beyond. The scale, diversity, and importance of this data create unique

technical challenges and opportunities for innovative engineers. The Comply Data Platform is a strategic initiative at the heart of this mission. It underpins everything from our broker feed ingestion and security master to advanced analytics, AI-driven insights, and future regulatory technologies. We’re building something foundational, and we’re doing it with a modern, cloud-native architecture that’s designed to scale.

The Role:

We are hiring an Analytics Lead to establish and grow iComply's internal analytics and decision science capability.

This role is focused on enabling better decision-making across the organization through high-quality analysis and the thoughtful application of AI and advanced analytics. You will work closely with Product and Engineering to improve how we understand platform usage, performance, and outcomes, and to shape product direction through data.

This is a hands-on leadership role. You will define how analytics operates at Comply, identify high impact opportunities, and deliver meaningful analysis yourself. You will also play a key role in identifying and applying AI capabilities, particularly where they can unlock new product value or significantly improve internal decision making.

Given the nature of Comply data products, experience working with financial or market data is highly advantageous.

Key Responsibilities:

• Establish the Analytics Function
• Define a vision, scope, and operating model for internal analytics at Comply in collaboration with the VP Data and Analytics.
• Identify high-impact opportunities where better data and analysis can materially improve business and product outcomes.
• Establish best practices for analysis, experimentation, metric definition, and insight communication.
• Build trust in analytics through rigor, clarity, and transparency.

Product & Engineering Partnership:

• Partner closely with Product Managers and Engineering Leads to support roadmap decisions with data.
• Support the definition and refinement of product metrics, KPIs, and success criteria.
• Translate ambiguous product and system questions into structured analytical approaches.
• Support experimentation and hypothesis-driven product development.

Data Exploration & Analysis:

• Work across multiple systems and data sources (including SaaS platforms, APIs, and operational
• databases) to discover and extract relevant data.
• Write queries and scripts to retrieve, combine, and prepare data for analysis.
• Build robust, analysis-ready datasets across structured and semi-structured data.
• Identify gaps in instrumentation, tracking, and data availability, and work with engineering to address them.

AI & Advanced Analytics Application:

• Identify opportunities to apply AI and machine learning techniques to improve product functionality, internal workflows, and decision-making.
• Prototype and evaluate AI-driven solutions (e.g. LLM-powered analysis, classification, summarization, anomaly detection).
• Work with Engineering to integrate AI capabilities into products or internal tools where appropriate.
• Stay current with emerging AI capabilities and assess their practical application within Comply Data and Analytics domain.
• Balance experimentation with pragmatism, focusing on real business impact over technical novelty.

Insight Generation & Decision Support:

• Conduct exploratory and deep-dive analysis to uncover trends, risks, and opportunities.
• Apply appropriate statistical methods to ensure robust and reliable conclusions.
• Translate analysis into clear, actionable recommendations for both technical and non-technical stakeholders.
• Develop dashboards or lightweight reporting where appropriate, with a focus on meaningful and decision relevant metrics.

Grow & Scale the Capability:

• Expand analytics support beyond Product & Engineering over time.
• Coach and mentor team members, helping to raise the overall analytical capability of the organization.
• Define future hiring needs and contribute to building a scalable analytics and AI function.

Essential Criteria:

• Significant experience in product analytics, decision science, or data science within a SaaS or technology environment.
• Proven experience partnering closely with Product and Engineering teams.
• Strong SQL skills and experience working with large-scale datasets.
• Experience writing scripts (e.g. Python, Spark or similar) to retrieve, combine, and analyse data.
• Strong statistical reasoning and ability to apply appropriate analytical methods.
• Experience applying AI/ML techniques to real-world business or product problems (e.g. predictive modelling, NLP, or LLM-based applications).
• Familiarity with modern AI tooling and frameworks (e.g. Python ML stack, LLM APIs, or similar).
• Ability to rapidly prototype and evaluate AI-driven approaches, and communicate their value and limitations to stakeholders.
• Demonstrated ability to translate ambiguous business problems into structured, data-driven analysis.
• Excellent communication skills, with a focus on influencing decisions and driving action.
• Comfortable operating independently and setting direction in an emerging or evolving function.

Desirable Criteria:

• Experience in financial services, particularly working with trading, securities, market, or regulatory data.
• Experience establishing or scaling an internal analytics or decision science function.
• Familiarity with modern analytics tooling (e.g. dbt, BI tools, experimentation platforms).
• Experience defining event tracking or instrumentation standards.
• Exposure to data governance and metric definition frameworks.

What We Offer:

The opportunity to build and shape Comply internal analytics capability from the ground up.

The potential to influence cross functional decisions through insight.

Close collaboration with senior stakeholders across the organization.

A rapidly growing platform with significant analytical depth and opportunity.

A culture that values curiosity, rigor, and continuous improvement.