Job Description

At Argo Group, you can be part of an organization where we are small enough to be agile and big enough to make a difference.  You can make a direct impact while working in a high-performing, innovative and inclusive team.

Argo Group International Holdings, Ltd. (NYSE: ARGO) is a global multiline underwriter of specialty insurance and reinsurance products in the property and casualty market. We help power the businesses that drive the world economy, offering a comprehensive line of high-quality products and services designed to meet the unique coverage and claims-handling needs of our clients.  We foster an inclusive culture that embraces diversity and design thinking, relies on innovation and agility, promotes collaborative service delivery, frequent, integrated communication, and authentic recognition of excellence.   View the latest Investor Presentation to learn more about Argo.   

As an Assistant Predictive Modeler, you will act as an investment into the actuarial team by empowering actuaries to use more efficient tools, which should reduce our expense ratio in the long run. You will use statistical/machine learning models to improve the accuracy of our actuarial forecasts, which should lower the loss ratio and positively impact topline growth. The ideal candidate can apply a variety of DS/ML techniques to business problems, which will directly improve both of the prior points.

RESPONSIBILITIES:

Working with our colleagues to design and deploy models to end-users.
Working on internal modeling projects.
Revising code on previous projects to be clearer and more efficient.
Supporting modeling projects throughout their lifecycle: data work, reconciliation, problem articulation, modeling, communication, delivery, monitoring.
Supporting research and development of bespoke modeling solutions spanning traditional statistical, actuarial, and data science fields.

QUALIFICATIONS:

Bachelor's degree in Mathematics, Statistics, Computer Science, or other Applied Sciences.
Solid understanding of statistics.
Demonstrated programming experience. Experience in Python/R and SQL is a plus.
Knowledge of insurance is a plus
Git and AWS experience is a plus
Kudos if you have a project on Github to share.
Active pursuit of Actuarial Accreditation is a plus.
Ability to interact and work within a team environment.
Ability to assist with concurrent projects.
Proficient PC skills (Office Suite – Excel, in particular).
Desire and drive to continuously learn and implement new ML algorithms.
Understanding of and the ability to apply traditional statistical methods and machine learning techniques to big, small, and messy data.
Knowledge of models and methods ie: GLM, GBM, MCMC, regularization, Bayesian optimization, unsupervised learning, time series, cross-validation.
Ability to communicate technical topics to a business audience

The range provided is for Colorado-based hires only and will be commensurate with candidate experience. Pay ranges for candidates in other locations other than CO may differ based on the cost of labor in that location. Pay range: $52,100 - $63,400 plus eligibility for an annual bonus based on company and individual performance.

PLEASE NOTE:  At this time, Argo Group will not sponsor an applicant for employment authorization for this position.

If you have a disability under the Americans with Disabilities Act or a similar law and you wish to discuss potential accommodations related to applying for employment at Argo Group, please contact our Benefits Department at 210-321-8400. 

To all recruitment agencies:  Unless you have been requested to work on this position, or other positions with Argo Group, please do not forward any resumes to Argo Group employees.   Argo Group is not responsible for any fees related to unsolicited resumes. 

How We Work - Our Employee Values

Employees at Argo thrive together as a responsible, profitable specialty insurer where all stakeholders share in our success.  
We are committed to:

The entrepreneurial spirit

Doing the right thing

Collaborating

Respecting each other
 

We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. 

Our Benefits

Developing our employees professionally and personally strengthens our organization.
Argo Group offers an attractive Total Rewards package that includes:

A culture that recognizes performance and empowers employees to excel, offering competitive compensation and merit driven profit sharing.

Flexible workplace policies that support employee well-being include compressed hours, flex-time, job-sharing, remote work, sabbatical leave, holiday and summer hours.

Comprehensive health, wellness, and financial planning options that employees can tailor to meet their personal and family needs.   In addition to traditional health and wellness plans, benefits include retirement savings, matching 401K (US-based employees), generous paid time off (PTO), paid caregiver and parental leave, employee assistance program (EAP), an employee stock purchase plan (ESPP) offering a 15% discount, and an array of voluntary benefits.  

Argo Academy, a digital and instructor-led platform that offers continuous learning and professional development – Training magazine lists Argo among the Training "Top 125" Companies.   Argo encourages career mobility and continuing education to pursue and maintain professional and industry designations, in addition to traditional university and higher education programs.

An inclusive culture that develops and sponsors diverse teams, encourages cross-functional engagement and collaboration, builds community through employee resource groups (ERGs), and provides an environment that welcomes ongoing dialogue, creative innovation, professional and personal development.

Active community outreach and volunteer programs in addition to matching charitable gifts by 100%.

A generous Employee Referral program that has resulted in 25% of all new hires this year.