Is the opportunity to join a culture where "We Do the Right Thing," and "We Courageously Shape Our Future Together" important to you? If so, Guardian is seeking a resolute motivated individual to join our team as a Data Scientist/Senior Data Engineer - Finance Transformation.
Guardian is seeking a technically skilled and business-savvy Technical Analyst / Data Engineer to design, develop, and support advanced actuarial and financial applications. This role will play a critical part in transforming our actuarial and finance functions by building scalable data pipelines, dashboards, and machine learning models that enhance decision-making and operational efficiency.
You will work closely with Actuarial, Finance, Data Science, and Technology teams to deliver solutions used in reserving, pricing, predictive analytics, and financial reporting.
You will:
Machine Learning, Engineering & Analytics Development
Build and optimize large-scale data pipelines using PySpark, SQL, and Python on cloud platforms such as Databricks and AWS
Utilizing advanced statistical and AI/ML techniques to develop, deploy, and support predictive models and actuarial tools used for reserving, pricing, and FP&A (e.g., claims projection model, LTD Reserving model)
Automate manual actuarial/finance processes by integrating coding workflows with structured datasets and business logic
Support use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation
Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets
Identification of source data and data quality checks both in model/solution development and in production
Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
Data Integration & Validation
Work across data domains to ingest, cleanse, and structure financial and actuarial datasets from multiple sources (e.g., Claims systems, Billing and Commissions system)
Implement robust data quality checks and reconciliation controls to ensure accuracy and completeness of critical reporting and modeling datasets
Collaboration & Documentation
Collaborate with actuaries, finance SMEs, and business analysts to translate complex requirements into efficient technical designs.
Maintain clear documentation for code, data flows, model logic, and user instructions.
You have
Technical Expertise & Domain Knowledge
6-8 years in a data engineering, actuarial modeling, or analytics-focused technical role, ideally in Group insurance or Financial services
2+ years of hands-on ML modeling/development experience
Solid understanding of data analysis and statistical modeling.
Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks.
Demonstrated track records in experimental design and executions
Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions
Strong programming skills in Python
Solid background in algorithms and a range of ML models
Working knowledge of Pricing and actuarial processes, or Group insurance product structures
Proficiency in Python, PySpark, and SQL is essential
Experience working with Databricks, Tableau, Power BI, or similar visualization and cloud platform
Exposure to ML/AI libraries and framework to develop or enhance models
Soft Skills
Analytical mindset with strong attention to detail
Self-starter who thrives in fast-paced, cross-functional teams
Education
Bachelor's or Master's degree in Computer Science, Actuarial Science, Mathematics, Engineering, Finance, or a related discipline or equivalent experience.
Preferred Qualifications
Hands-on experience building valuation, reserving, or pricing models for group insurance products
Experience in agile or SAFe environments with sprint planning, Jira, or Confluence
Strategic and creative thinker with ability to think outside the box and translate strategies into actions
Excellent problem-solving skills
Team player with proven ability to foster and manage working relationships within a matrix environment
Candidate must be comfortable with ambiguity in strategic direction. Priorities will change as current uncertainties become new standards and shape the market. There must be constant balance between proactive and reactive strategy and execution.
Candidate must work well in a collaborative and diverse team environment, understanding and employing the approach and standard operating procedures of all functional areas across Guardian
Excellent oral and written communication skills
Location:
Hybrid role - 3 days in a Guardian office located in Holmdel, NJ; Bethlehem PA; or Hudson Yards, NYC. 2 days WFH. 10% Travel to other offices as determined by the People Leader
Salary Range:
$99,150.00 - $162,885.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
Our Promise
At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
Inspire Well-Being
As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.
Equal Employment Opportunity
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Accommodations
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR@glic.com. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site.
Visa Sponsorship
Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship.
Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.
Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .
Visa Sponsorship:
Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship.
