AVP - Actuarial

Nassau Financial Group; Hartford (CT); Remote; USD 95,000 - 130,000; Full time

Job summary

A financial services firm in Hartford is seeking an Assistant Vice President – Data Analytics to lead strategic actuarial initiatives and collaborate with stakeholders. The ideal candidate has over 7 years of experience in data analytics and a Bachelor's degree in a related field. This role allows for 100% telecommuting, making it an excellent opportunity for work-life balance.

Qualifications

• 7 years of experience in Data Analytics, Systems Engineering, or a related field.
• Experience analyzing Statutory and GAAP financial statements and actuarial reports.
• Experience in an insurance or financial services industry.

Responsibilities

• Lead actuarial initiatives including data integration and financial reporting.
• Collaborate with stakeholders to address complex business questions.
• Manage relationships with external analytic and data vendors.

Skills

Data analysis

Data visualization

Big Data analysis

Project leadership

Collaboration

Education

Bachelor’s degree in Data Science, Actuarial Science, Business Analytics, or related field

Tools

R

Posit Connect

Job description

Overview

The Nassau Companies of New York seeks Assistant Vice President – Data Analytics at its facility located at One American Row, Hartford, CT 06103.

Responsibilities

• Lead strategically important actuarial initiatives, including data integration, controls remediation and enhancement, financial reporting, and reserve valuation.
• Ensure actuarial data requirements are defined, tested, and established for ongoing processes/infrastructure.
• Ensure overall data and modeling needs are addressed for existing and new content, and serve as a key resource in supporting changes to administrative and valuation system projects.
• Lead and provide direction on strategic initiatives to establish, promote, and enforce standard and controlled processes and procedures for data governance for assigned actuarial business units; ensure data is managed as a corporate asset.
• Collaborate with a broad range of stakeholders to understand complex business questions and deliver solutions, including actuarial issues related to finance or general ledger, quarterly and annual financial closings, explanation of variances and unusual results, and audit documentation.
• Complete documentation for audit controls; demonstrate effectiveness of key controls.
• Liaise with internal and external auditors on actuarial data changes and ongoing maintenance of data controls; recommend and implement data quality practices to improve data management practices.
• Review emerging regulations and industry protocols to support compliance with existing and new products; provide advice, guidance, and leadership on reserve methods, new product assumptions, and data quality practices.
• Research and analyze data, assist with data definition, data quality rule creation, and monitoring processes to be defined by transformation projects and business needs.
• Manage relationships with external analytic and data vendors; coordinate vendor activities with internal leadership, performance teams, IT and other business areas as appropriate.
• Build relationships with Data Stewards, Data Architects, and others in technical and business areas to ensure collaboration between projects and team members.
• 100% telecommuting permitted.

Requirements

• Bachelor’s degree, or foreign equivalent, in Data Science, Actuarial Science, Business Analytics, or a related field, plus 7 years of experience in Data Analytics, Systems Engineering, or a related occupation.
• Experience with: (1) Utilizing R and Posit Connect for data analysis and data visualization; (2) Developing internal software with a visual interface to support various actuarial stakeholders; (3) Analyzing Statutory and GAAP financial statements and actuarial reports (such as actuarial memoranda and appraisals); (4) Leading projects, including directing personnel in cross-functional and cross-reporting initiatives; (5) Analyzing Big Data, including analytics, structures, statistics, data governance, and quality control in an insurance or financial services industry; (6) Interpreting requirements, identifying impacts, and analyzing problems to determine downstream impacts to the business.

Equal Opportunity Employer
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