Pension Actuary

ABOUT THE JOB

Slope Software is seeking a highly motivated, analytical and collaborative individual for the role of Modeling Actuary. This role will work alongside the rest of the actuarial team and be responsible for the testing and validation of changes and updates to the SLOPE actuarial library, with primary focus on Defined Benefit Pensions and Other Post Employment Benefits (OPEB). This role is a great fit for any incoming actuaries that are passionate about technology and want to be at the forefront of modernizing the Pension & OPEB market.

Responsibilities

Some of the responsibilities for this role will be the following:

• Build, test, validate, and maintain the features within Pension and OPEB actuarial libraries in SLOPE using the platform’s no-code development environment
• Develop standard reports and data visualization dashboards for SLOPE clients to use
• Assist in providing guidance to support software conversion efforts of our Pension & OPEB clients
• Provide customer support for onboarding, actuarial design, and technical issues for new and existing customers
• Document pension library and report functionality and create onboarding documentation for clients to reference for a seamless onboarding experience
• Provide new user training and orientation of the SLOPE platform to external users
• Assist in other areas of the business on an as needed basis

Requirements

• Extensive knowledge of US pension funding and financial reporting requirements.  
• 5-7+ years of Pension & OPEB experience across one or more of the following: Public Sector, ERISA, and Taft Hartley plans
• Hands-on experience working with ProVal or equivalent pension valuation systems
• Strong experience with actuarial modeling concepts and understanding of various liability accrual methods
• Exceptional problem-solving skills and ability to think critically
• Demonstrated ability to learn quickly (e.g. new regulatory frameworks, new software, etc.)
• Excellent communication skills and the ability/desire to work on a collaborative team
• Ability to manage multiple priorities and work in a dynamic environment
• Strong preference will be given to candidates that are willing to work in the Atlanta office on a hybrid arrangement.

Desired Experience

• Familiarity with SQL and database concepts
• Experience with business intelligence / data visualization tools such as Sigma, Tableau or Power BI
• Pension Risk Transfer (PRT) experience would be advantageous
• Experience with other actuarial modeling and/or valuation platforms 
• Python experience is a plus 
• Ideal candidate is a driven individual with a natural curiosity to learn new things and the desire to disrupt outdated industry processes through new technologies

Benefits

• Competitive Salary
• Equity package/Stock Options
• Flexible work hours
• Health, Dental, Vision Insurance (employee portion covered 100%)
• 401(k) plan
• Unlimited paid time off policy (3 week minimum)
• Casual dress code
• Fun, collaborative startup work environment
• Atlanta office provides snacks/drinks, regular happy hours, and other networking events
• Flexible remote work (hybrid) in Atlanta location

About the company

Slope Software was founded in 2016 as a response to the headaches experienced in using other actuarial software by brothers-in-law Andy Smith and Taylor Perkins, a modeling actuary and software developer, respectively. The vision was to create a modeling software that is drag-and-drop intuitive, limitlessly scalable, transparent, and flexible with its data input and output. The result was SLOPE, a cloud-native actuarial modeling and analysis platform built with the user experience at the forefront of its design on top of a modern software architecture that is transforming the lives of actuaries working in the insurance and retirement sectors.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.