Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Mark Makonese

Boston,MA

Summary

Business-minded, goal-oriented, and performance-driven senior analyst with over 6 years of actuarial experience in Life and Health Insurance. Excels at managing complex research projects and developing comprehensive technical reports while working independently with excellent analytical and report-writing skills. Demonstrates a proven ability to deliver valuable insights through advanced analytics and data-driven methods. Possesses extensive expertise in predictive modeling, data visualization, and risk analysis. Holds an MS in Business Analytics, a BSc in Actuarial Science, and has passed 6 actuarial examinations with the Society of Actuaries. Currently pursuing a Doctorate in Business Administration specializing in Business Analytics and Business Intelligence.

Overview

9
9
years of professional experience

Work History

Financial Data Analyst

Evernorth Health (Member of Cigna Health) (Remote)
07.2023 - Current
  • Collaborating cross-functionally to develop and implement Actuarial Pricing models and strategies, ensuring competitiveness and profitability, while rigorously assessing the impact of pricing assumption changes through sophisticated financial modeling
  • Driving innovation by refining Excel methodologies and transitioning spreadsheet calculations into scripts integrated into a cloud-based calculation engine, to adapt to the evolving needs and complexities of health insurance actuarial practices
  • Automating regression models in Excel using VBA to generate detailed reports, pulling Pharmacy data from various sources like Hadoop, DB Visualizer, and Teradata, and conducting extensive data mining for insights
  • Conducting monthly actuarial reporting, variance analysis, trend analysis, and assessing the impact of regulatory changes.

Actuarial Analyst

InterWell Health (Remote)
09.2021 - 06.2023
  • Developed SAS programs to extract data and create analysis-ready datasets for actuarial analysis, for Medical Advantage patients, reducing data preparation time by 25%
  • Utilized SAS and SQL queries to analyze medical cost, utilization, and other drivers, providing insightful commentary and sensitivity modeling to optimize Medicare Advantage offerings
  • This improved analysis process saved 20% of analytical time
  • Analyzed financial performance metrics, including Medical Loss Ratio (MLR), for Medicare Advantage and Commercial plans to inform strategic decisions
  • Conducted ad hoc pricing sensitivity and Month-End Close (MEC) claim analysis for contract management, focusing on Medicare Advantage and Commercial products
  • Built predictive models to identify Complex Care Management patients among CKD members enrolled in Medicare Advantage plans
  • This predictive modeling reduced identification time by 40%, enabling timely intervention and care management.

Pricing Analyst

BURNDY (Hubbell Inc.)
05.2021 - 10.2021
  • Created project and blanket quotes in SAP for corporate clients across all states, streamlining the quoting process and reducing quote preparation time by 20%, which improved client satisfaction and increased quote conversion rates by 15%.
  • Extracted data with pricing history from SAP and conducted pricing analysis to come up with future prudent pricing leading to a 15% reduction in pricing errors and a 10% increase in profitability through more accurate and competitive pricing strategies.
  • Performed analytics on pricing data from Power BI using advanced Excel techniques, improving data analysis efficiency by 25% and enhancing pricing models, resulting in a 12% increase in sales for high-value corporate clients.
  • Designed interactive dashboards in Tableau, visualizing quote usage and identifying high-usage areas, which enabled data-driven decision-making and resulted in targeted marketing strategies that increased sales by 20%.

Actuarial Analyst

Insurance & Pensions Commission (IPEC)
09.2018 - 01.2020
  • Developed stochastic forward-looking models to assess the solvency and financial soundness of domestic insurers, including reviewing reserves and performing risk-based capital calculations, ensuring compliance with regulatory standards
  • Utilized actuarial risk management techniques, such as loss financing, to maintain steady growth within the insurance industry, resulting in a 17.5% reduction in the annual cost of risk management for the insurance regulator through improved automated processes
  • Created actuarial financial models in R for industry reports, ensuring capital adequacy and reducing insolvency rates by 15% through comprehensive summaries of financial performance, asset allocation, and solvency ratios for parliamentary review
  • Led a team of analysts to develop risk management models, improving risk mitigation strategies and regulatory compliance through actuarial analysis and strategic insights.

Actuarial Assistant

Old Mutual Life Assurance
09.2015 - 08.2018
  • Developed and updated pricing models using actuarial techniques and machine learning in SAS for precise life insurance rate computations and error analysis, resulting in a 15% increase in annual product revenue through more competitive pricing
  • Led actuarial expense investigations to analyze and optimize annual expenses across the life insurance department, reducing administrative costs by 18% through the identification and elimination of inefficiencies
  • Designed actuarial data visualizations for key life insurance performance indicators using SQL and Tableau, streamlining reporting processes and reducing manual reporting efforts by 8 hours weekly, thus enhancing actuarial analysis and decision-making
  • Applied actuarial clustering methods in SAS and R to assess and adjust risk factors for underperforming life insurance products, leading to a 5% increase in quarterly profits by aligning products with underwriting models.

Education

Doctorate in Business Administration -

Westcliff University
Irvin, CA

Master of Science in Business Analytics -

Sawyer Business School, Suffolk University
Boston, MA

Actuarial Student-Central Summer Prog -

Casualty Actuarial Society (CAS)
Boston, MA

Bachelor of Science in Actuarial Science -

University of KwaZulu Natal
Durban, South Africa

Skills

  • Data cleaning
  • Modelling
  • Mining
  • Python
  • SQL
  • SAS
  • R
  • VBA
  • Excel
  • SAP
  • Tableau
  • Power BI
  • Machine learning

Timeline

Financial Data Analyst

Evernorth Health (Member of Cigna Health) (Remote)
07.2023 - Current

Actuarial Analyst

InterWell Health (Remote)
09.2021 - 06.2023

Pricing Analyst

BURNDY (Hubbell Inc.)
05.2021 - 10.2021

Actuarial Analyst

Insurance & Pensions Commission (IPEC)
09.2018 - 01.2020

Actuarial Assistant

Old Mutual Life Assurance
09.2015 - 08.2018

Doctorate in Business Administration -

Westcliff University

Master of Science in Business Analytics -

Sawyer Business School, Suffolk University

Actuarial Student-Central Summer Prog -

Casualty Actuarial Society (CAS)

Bachelor of Science in Actuarial Science -

University of KwaZulu Natal
Mark Makonese