Subject Matter Expert - Financial and IT Modeling & Analytics

Description

About RiskSpan

RiskSpan is a leading source of analytics, modeling, data, and risk management solutions for the consumer and institutional finance industries. We partner with banks, mortgage-backed and asset-backed securities issuers, portfolio managers, servicers, and regulators to solve complex challenges in market risk, credit risk, operational risk, and financial technology.

General Description

We are seeking a highly experienced Subject Matter Expert (SME) in Financial Analytics and Modeling to lead the automation of financial reporting and model development across unstructured and structured datasets. This individual will develop optimized data pipelines and automation workflows using cutting-edge tools including Python, SQL, Postgres, NLP, and LLMs. The ideal candidate brings both technical depth and financial domain knowledge, with a demonstrated track record in data integrity, performance optimization, and scalable solution design.

Primary Responsibilities

• Lead the automation of financial reporting processes by integrating unstructured and structured datasets using Python, SQL, Postgres, NLP, and large language model (LLM) tools.
• Rewrite, develop, and optimize code logic to function across diverse database environments and applications.
• Ensure the integrity and accuracy of data throughout automation workflows and migration processes.
• Translate reporting logic, dashboards, and metrics across different platforms and environments.
• Design and develop robust database frameworks to support evolving data analytics and automation needs.
• Optimize database performance and streamline manual processing through code and architecture efficiency.
• Collaborate with stakeholders to understand analytical goals and align technical solutions accordingly.
• Document processes and provide knowledge transfer to support sustainability and scalability of solutions.

Qualifications

• Master’s degree in Engineering, Financial Analysis, or a related quantitative discipline.
• Minimum 10 years of experience in quantitative modeling or data science.
• At least 5 years of experience in the financial services industry.
• Proven expertise (5+ years) in Natural Language Processing (NLP) and large language models (LLMs).
• Extensive experience (5+ years) in database programming using Python, SQL, and Postgres.
• Strong experience with large datasets, database design, and data migration.
• Demonstrated ability to manage multiple projects under tight deadlines in high-pressure environments.
• Excellent written and verbal communication skills; ability to clearly articulate complex technical concepts.
• Proven ability to work independently and collaboratively within virtual teams.
• Strong analytical, problem-solving, and performance tuning skills.
• Familiarity with Agile methodologies is a plus.

Why Join Us

At RiskSpan, you will collaborate with top-tier professionals to deliver technology-enabled solutions that transform financial services. You will gain exposure to high-impact projects while shaping testing and validation strategies that ensure quality outcomes for our clients.