Sr Data Scientist, Finance, Brokerage & Market Risk

Ladders; United States; Remote; USD 110,000 - 130,000; Full time

Benefits offered by this job

Professional development

Mentorship

Collaborative environment

Exposure to financial product projects

Modern data tooling

Job summary

Ladders is seeking a Sr Data Scientist, Finance, Brokerage & Market Risk to shape data products and analytics for finance, brokerage operations, and risk decision‑making. This remote role partners with finance, operations, and tech teams to improve reporting, data quality, and business visibility, delivering scalable solutions for financial reporting and performance monitoring.

You will own data marts, design data pipelines, build brokerage reporting, create dashboards for KPIs, and mentor

Qualifications

• 5+ years of experience in data engineering or analytics development.
• Strong proficiency in SQL for complex data manipulation.
• Experience in brokerage operations or financial services preferred.
• Hands-on experience with modern data pipeline tools such as dbt or Airflow.

Responsibilities

• Own the development and maintenance of finance and market risk data marts.
• Design and document data pipelines for financial reporting.
• Build and maintain brokerage reporting systems to ensure data accuracy.
• Collaborate with stakeholders to support new financial product launches.
• Create dashboards to monitor KPIs and profitability metrics.
• Provide business intelligence support for trade and collateral tracking.
• Translate business needs into scalable analytics solutions.
• Participate in code reviews and contribute to data engineering best practices.
• Mentor junior team members to strengthen technical skills.

Skills

SQL proficiency

Python for data automation

Data visualization

Stakeholder communication

Mentor juniors

Tools

dbt

Airflow

AWS

Job description

For our client, we are seeking a Sr Data Scientist, Finance, Brokerage & Market Risk to join the team of a leader in the Finance & Insurance space.

This role will shape data products and analytics that support finance, brokerage operations, and market risk decision-making. You will partner closely with finance, operations, and technical stakeholders to improve reporting, data quality, and business visibility across the organization. The work will center on building scalable solutions that support financial reporting, performance monitoring, and new product initiatives.

Location: Remote

Compensation: $110,000 – $130,000 annually

Responsibilities

• Own the development and maintenance of finance and market risk data marts
• Design and document data pipelines for financial reporting
• Build and maintain brokerage reporting systems to ensure data accuracy
• Collaborate with stakeholders to support new financial product launches
• Create dashboards to monitor KPIs and profitability metrics
• Provide business intelligence support for trade and collateral tracking
• Translate business needs into scalable analytics solutions
• Participate in code reviews and contribute to data engineering best practices
• Mentor junior team members to strengthen technical skills

Qualifications

• 5+ years of experience in data engineering or analytics development
• Strong proficiency in SQL for complex data manipulation
• Experience in brokerage operations or financial services preferred
• Hands-on experience with modern data pipeline tools such as dbt or Airflow
• Working knowledge of cloud infrastructure, especially AWS
• Proficiency in Python for data automation and scripting
• Strong data visualization skills using tools such as Tableau or Power BI
• Excellent communication skills for technical discussions with non-technical stakeholders

Benefits

• Opportunities for professional development and mentorship
• Collaborative work environment with cross-functional teams
• Exposure to innovative financial product initiatives
• Chance to work with modern data engineering tools and technologies
• Environment focused on performance optimization and data quality

Our client is an equal opportunity employer.