Associate​/Senior Associate – Full Stack Developer

Associate / Senior Associate

Remote (India based) 2:00 PM – 10:00 PM IST Associate / Senior Associate

Reg Edge is a global boutique consulting firm dedicated to assisting financial institutions in navigating complex regulatory landscapes. Our team is comprised of former Big 4 consulting and industry professionals with extensive experience in capital markets. We have teams based in New York (USA), London (UK) and multiple locations in India.

As Reg Edge scales its data and technology capabilities, we are building a world-class engineering function at the core of our capital markets practice. This role is a rare opportunity to apply deep full-stack and data engineering expertise within the high-stakes domain of financial analytics and regulatory technology—working alongside quant analysts, risk consultants, and capital markets subject matter experts.

We are seeking a Full Stack Developer with a strong foundation in financial mathematics, quantitative finance, or financial engineering, combined with hands‑on production engineering experience. You will architect and build data pipelines, analytical platforms, and client‑facing applications that power regulatory reporting, risk analytics, and financial data solutions across our global client base.

Design, develop, and maintain scalable data engineering pipelines for ingestion, transformation, and distribution of large‑scale financial datasets.

Build full‑stack applications and internal tools that support capital markets risk, regulatory reporting, and compliance workflows.

Develop and deploy statistical models, financial analytics engines, and machine learning applications in a production finance context.

Architect and maintain cloud‑based data infrastructure on AWS and/or GCP, leveraging platforms such as Snowflake and Databricks.

Create and manage BI dashboards and data visualization layers (e.g., Power BI, Tableau) for client‑facing and internal reporting.

Collaborate with quant analysts and risk consultants to translate financial models and regulatory requirements into robust engineering solutions.

Review and optimize database schemas, SQL queries, and data models for performance and scalability across large financial datasets.

Contribute to code reviews, technical documentation, and engineering best practices within the team.

Bachelor's or Master's degree in Computer Science, Financial Engineering, Financial Mathematics, Quantitative Finance, or a related field.

4+ years of hands‑on software engineering experience with a demonstrable full‑stack or data engineering portfolio.

Strong foundational knowledge of financial mathematics or quantitative finance — options pricing, risk metrics (VaR, Greeks), fixed income analytics, or similar.

Prior exposure to capital markets, financial services firms, fintech, or regulatory technology environments is a significant advantage.

• Advanced Python for data engineering, ETL pipeline development, and automation.
• Expert‑level SQL across relational and analytical databases.
• Hands‑on experience with cloud platforms: AWS (S3, Glue, Redshift, Lambda) and/or GCP (Big Query, Dataflow, Cloud Composer).
• Proficiency with modern data platforms:
  Snowflake and/or Databricks (Delta Lake, Spark).
• Experience building and maintaining BI tooling and dashboards — Power BI, Tableau, or equivalent.

• Strong backend engineering skills in Java and/or Python (REST APIs, microservices, event‑driven architecture).
• Familiarity with frontend frameworks (React, Angular, or similar) for internal tooling and client dashboards.
• Experience with containerization and orchestration:
  Docker,…