Remote Python Financial Jobs in Santa Clara, CA (NOW HIRING)

CENTRL is a leading risk and compliance technology company that provides AI powered enterprise-grade risk, due diligence, cyber security and privacy management solutions to financial institutions worldwide. Our clients include some of the largest banks and investment management firms across the Americas, Europe and APAC. Headquartered in Silicon Valley, CENTRL has regional offices in New York, India, Australia, and the United Kingdom. Established in 2015, CENTRL is a high-growth, venture backed SaaS firm leading the way in innovative generative AI solutions to manage third party risk and due diligence.

Position Overview:

We are looking for a Software Engineer to join our Engineering team.

This contract has a 6 month duration.

We are looking for a motivated Software Engineer who is looking to work with a small but agile team developing solutions for Financial Services companies, using cutting edge technology and AI. The position will work closely with other engineers and the product team to work on roadmap priorities in our R360 and DD360 products.

The ideal candidate will convert to a full-time employee upon a successful contract.

Job Responsibilities

• Design, maintain, and enhance enterprise software products, diagnosing complex issues and implementing robust, scalable code fixes.
• Contribute to ongoing development of core product features and internal tools, including refactoring, performance improvements, and technical debt reduction.
• Build, maintain, and improve systems that support client integrations and configuration workflows, ensuring reliability and maintainability.
• Collaborate closely with product, engineering, and other cross-functional teams to identify root causes of issues and deliver high-quality product improvements.
• Investigate and resolve complex, real-world issues surfaced through client usage, partnering with client services as needed to ensure durable technical solutions.
• Provide technical insights, analysis, and recommendations to influence product roadmap decisions and drive continuous improvement.
• Create and maintain technical documentation and internal knowledge bases to support engineering best practices and knowledge sharing.

Minimum Qualifications

• Bachelor's degree in Computer Science
• Must have work authorization in USA
• 2-3 years experience

Preferred Qualifications

• Demonstrated software engineering experience
• Experience coding with Java and Python; Front-end experience with Angular.
• Experience with AI agent frameworks and MCP
• Strong technical aptitude and willingness to learn new applications and software tools.
• Experience with SQL queries and front-end web development skills (HTML, JavaScript).
• Knowledge of RESTful web services and experience with APIs.
• Desire to contribute to major changes and enhancements in collaboration with the engineering team.
• Strong planning, organization, & communication skills.

CENTRL's platform helps banks, financial institutions, asset owners, managers and other companies with risk oversight. We believe that people do their best in a culture that encourages teamwork, innovation, and inclusion. These values serve as the foundation of our culture, which is collaborative, dynamic, fast-paced, and drives our obsession in delighting our clients.

We live and breathe these values every day. And together, we're committed to help solve real business challenges with CENTRL technology.

CENTRL is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. CENTRL makes hiring decisions based solely on qualifications, merit, and business needs at the time.