Senior Decisioning Architect

Tally; San Francisco (CA); Hybrid; USD 125,000 - 147,000; Full time

Job summary

Happen Bank is seeking a Risk Infrastructure Sr Analyst in San Francisco. You will translate policy requirements into technical decision logic and build scalable decisioning capabilities with team collaboration across Risk, Operations, Engineering, and Control.

The role emphasizes governance, testing, and API integration to ensure accurate risk outcomes. You will develop ML models, design deployment plans, and support audits while maintaining high data sensitivity and compliance standards.

Qualifications

• 2+ years in risk infrastructure, decision systems, software, analytics, or related field.
• Bachelor's degree or higher or equivalent experience.
• Hands-on programming with SQL, Python, PySpark, or similar tech.
• Ability to translate business requirements into technical solutions.
• Owns quality and proactive process improvements.
• Collaborates across technical and business teams and adapts communication.

Responsibilities

• Translate policy and strategy requirements into clear technical requirements.
• Design and code business rules, decision logic, and ML models on the decision platform.
• Develop test and deployment plans; validate against quality standards.
• Build and troubleshoot APIs linking data sources to the decision platform.
• Use AI tools responsibly to accelerate development with oversight.
• Troubleshoot with Operations, Engineering, Risk, and Control teams.
• Analyze decision outcomes and build dashboards to identify improvement opportunities.
• Support audits and maintain documentation for decision policies.

Skills

SQL

Python

PySpark

Analytical thinking

Communication

Education

Bachelor's degree or higher

Tools

GDS Link

Provenir

Drools

Oscilar

PowerCurve

SAS ID

ODM

Job description

Happen Bank is seeking a Risk Infrastructure Sr Analyst in San Francisco. You will translate policy requirements into technical decision logic and build scalable decisioning capabilities with team collaboration across Risk, Operations, Engineering, and Control.

The role emphasizes governance, testing, and API integration to ensure accurate risk outcomes. You will develop ML models, design deployment plans, and support audits while maintaining high data sensitivity and compliance standards.