EXL Logo

EXL

Senior Lead-Systems Actuarial Product SME

Reposted 25 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
160K-175K Annually
Senior level
Remote
Hiring Remotely in United States
160K-175K Annually
Senior level
Serve as actuarial product SME for life and annuity implementations: review specs, translate actuarial requirements into configuration and testing guidance, support data conversion and balancing analysis, validate system behavior, and use SQL and scripting to analyze and reconcile source and target data.
The summary above was generated by AI

Work Location- Remote- United States

US Salary Range- $160K-$175K 

https://www.exlservice.com/us-careers-and-benefits

In this role, you will work directly with carrier actuaries, product SMEs, and delivery teams to review product specifications, identify missing requirements, clarify actuarial intent, drive implementation decisions, and help validate that product behavior is represented correctly in the target system. The role also plays a critical part in data conversion, including balancing analysis and determining whether issues stem from source data, transformation logic, or target-system configuration.

Responsibilities

What You Will Do

  • Assess carrier products, actuarial requirements, and source system calculations to determine implementation readiness and support needs for LifePRO.
  • Review actuarial and product documentation for completeness, consistency, and missing assumptions.
  • Translate product and actuarial requirements into actionable guidance for configuration, development, conversion, testing, and operations teams.
  • Document gaps, non-gaps, assumptions, and implementation decisions clearly for internal and client-facing audiences.
  • Support product configuration and validate expected system behavior during implementation and testing.
  • Analyze conversion and balancing issues to determine whether discrepancies are driven by data, transformation logic, or configuration/calculation setup.
  • Use SQL and scripting tools to analyze, compare, transform, and validate data across source and target systems
  •  

Qualifications

What We Are Looking For

  • 10–15 years of experience in life insurance, annuities, actuarial support, product administration, product implementation, or product systems.
  • Strong knowledge of Life and Annuity products; LTC, Group Life, and Disability experience is also welcomed.
  • Ability to read and evaluate actuarial and product specifications and identify missing or ambiguous requirements.
  • Experience supporting system implementations, data conversion, and reconciliation / balancing analysis.
  • Strong SQL skills and experience with Python, VBA, or similar tools for analysis or transformation work.
  • Experience with insurance administration systems such as LifePRO, CyberLife, ALFA, Ingenium, or similar. Illustration system experience is also relevant.
  • Strong communication skills and the ability to work across actuarial, technical, and operational teams.
  •  

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.


Responsibilities

What You Will Do

  • Assess carrier products, actuarial requirements, and source system calculations to determine implementation readiness and support needs for LifePRO.
  • Review actuarial and product documentation for completeness, consistency, and missing assumptions.
  • Translate product and actuarial requirements into actionable guidance for configuration, development, conversion, testing, and operations teams.
  • Document gaps, non-gaps, assumptions, and implementation decisions clearly for internal and client-facing audiences.
  • Support product configuration and validate expected system behavior during implementation and testing.
  • Analyze conversion and balancing issues to determine whether discrepancies are driven by data, transformation logic, or configuration/calculation setup.
  • Use SQL and scripting tools to analyze, compare, transform, and validate data across source and target systems
Qualifications

What We Are Looking For

  • 10–15 years of experience in life insurance, annuities, actuarial support, product administration, product implementation, or product systems.
  • Strong knowledge of Life and Annuity products; LTC, Group Life, and Disability experience is also welcomed.
  • Ability to read and evaluate actuarial and product specifications and identify missing or ambiguous requirements.
  • Experience supporting system implementations, data conversion, and reconciliation / balancing analysis.
  • Strong SQL skills and experience with Python, VBA, or similar tools for analysis or transformation work.
  • Experience with insurance administration systems such as LifePRO, CyberLife, ALFA, Ingenium, or similar. Illustration system experience is also relevant.
  • Strong communication skills and the ability to work across actuarial, technical, and operational teams.

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
HQ

EXL New York, New York, USA Office

320 Park Avenue, 29th Floor, New York, NY, United States, 10022

EXL Jersey City, New Jersey, USA Office

Jersey City, United States, 0

EXL Newark, New Jersey, USA Office

Newark, United States

Similar Jobs

18 Minutes Ago
Remote or Hybrid
United States
156K-263K Annually
Senior level
156K-263K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Lead design, build, and deploy scalable, reliable Java-based microservices in a cloud-native, event-driven AWS environment. Own backend feature design, code quality, automated testing, and FedRAMP release processes. Mentor engineers, participate in on-call/TechOps, integrate AI tools into development, and drive architecture, observability, and cross-team initiatives.
Top Skills: Automated Testing FrameworksAWSBig DataClaudeCursorData PipelinesEvent-Driven ArchitectureFedrampGoJavaMachine LearningMicroservicesRestful Apis
18 Minutes Ago
Remote or Hybrid
United States
110K-185K Annually
Senior level
110K-185K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Lead a remote Vulnerability Management team to manage the full vulnerability lifecycle: discovery, triage, risk-based prioritization, remediation oversight, automation, and reporting. Partner with IT, DevOps, Security Engineering, and business units to enforce SLAs, drive threat-informed risk reduction, and deliver KPIs and dashboards for stakeholders.
Top Skills: AWSAzureCrowdstrikeCveCvssEpssGCPJIRAOrcaPowershellPythonQualysSIEMSoarWiz
18 Minutes Ago
Remote
United States
140K-170K Annually
Senior level
140K-170K Annually
Senior level
Computer Vision • Digital Media • Kids + Family • Mobile • Software • Sports
Own and evolve the Subscriptions and Payments backend: design APIs, integrate providers, improve reliability and scalability, lead architecture and code reviews, collaborate cross-functionally, and participate in on-call rotations.
Top Skills: AWSNode.jsPostgresRedisTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account