Risk System Developer

About At-Bay:

At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever.

At-Bay helps its 40,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies.

The role:

The risk function is one of the most critical, cross functional business units at our company - it is where business meets technology. As a System Developer on the Decision Engine Team, you will ensure the production quality of our core underwriting engine directly impacting billions of dollars of exposure. You will guard our underwriting performance through enablement of effective pricing and automatic decision rules. You will build new products from scratch and collaborate with many teams include RnD to scale and validate decisions to production. You will be building the Decision Engine models using DMN, collaborating with cross functional teams to push insights to production at a record speed.

Your Impact:

• Build rating and rules engine from scratch, and adopt changes to existing rate plan and rule logic based on risk and landscape changes 
• Develop new features and automations in our rules engine system to support decisions in agile approach 
• Partner with our Risk units, Insurance Product, Underwriting and Technical teams to translate business needs and technical capabilities into actionable risk releases
• Partner with our RnD team to scale decisions quickly and efficiently
• Implement, QA, troubleshooting, hot fix risk initiatives  
• Validate all the active changes prior to deployment run as expected
• Identify and resolve roadblocks that affect release timelines and quality upfront
• Constantly optimize for best practice in model/infrastructure design, automation, product requirement, implementation, testing, and release cycle 

In this role we value:

• Actuarial, insurance product management, risk analyst, underwriting, rule engine (insurance/lending/safety/security etc.), or similar fields
• Working knowledge of rate plan, referral rules, underwriting logics 
• Experience with DMN
• SQL and Python proficiency; Java experience preferred
• Strong troubleshooting, problem-solving, and project management skills
• Effective verbal and written communication
• Driven, organized, team player, strong sense of ownership, accountable, concise, attention to detail 
• Experience with product implementation or defining business and technical requirements with RnD for successful deployment of production is a plus 

Our estimated base pay range for this role is $100,000-$125,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.