Senior Risk Analytics & Modeling — Hybrid Role, Growth

Charles Schwab; Orlando (FL); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

401(k) match

Employee stock purchase plan

PTO + sabbatical

Parental leave & family benefits

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab in Orlando is seeking a Senior Specialist in Risk Analytics/Modeling to evaluate financial models, AI systems, and cybersecurity analytics shaping investment decisions. This role sits in Model Risk Oversight and offers a hybrid schedule (4 days in-office, 1 day remote).

You will analyze methodologies, testing results, and performance data, prepare validation reports, and collaborate with developers, data scientists, and business partners to improve accuracy and reliability.

Qualifications

• Bachelor's degree in a quantitative field required.
• 0–5 years of finance, modeling, cybersecurity, or related experience.
• Strong written and verbal communication skills required.
• Experience with programming or data analysis through coursework or projects.

Responsibilities

• Evaluate analytical models for investment management, cybersecurity, and AI.
• Analyze model methodologies, testing results, and performance data.
• Prepare validation reports and presentations communicating findings.
• Collaborate with developers, data scientists, and business partners.

Skills

Analytical thinking

Strong communication

Intellectual curiosity

High energy

Integrity

Education

Bachelor's degree in a quantitative field

Tools

Programming

Data analysis

Machine learning

Statistics

Job description

Charles Schwab in Orlando is seeking a Senior Specialist in Risk Analytics/Modeling to evaluate financial models, AI systems, and cybersecurity analytics shaping investment decisions. This role sits in Model Risk Oversight and offers a hybrid schedule (4 days in-office, 1 day remote).

You will analyze methodologies, testing results, and performance data, prepare validation reports, and collaborate with developers, data scientists, and business partners to improve accuracy and reliability.