SEEKING 16-WEEK INTERNSHIP • 15 MAR 2027 – 4 JUL 2027

B.Sc. (Hons) Actuarial Science • Quantitative Risk & Analytics

Farish Syahmi

Translating complex stochastic datasets and macroeconomic patterns into actionable insights for actuarial pricing, claims reserving, and predictive risk assessment.

Explore Selected Works View LinkedIn Profile

16 Wks Internship Window
Mar – Jul 2027

66.7k+ Insurance Claims
Simulated via VBA

6+ Core Actuarial Tools
R, Python, SAS, SQL

01 // EXECUTIVE PROFILE

Precision in Uncertainty

PROFESSIONAL SUMMARY

Bridging Actuarial Theory with Modern Machine Learning & Stochastic Computation.

Analytical Bachelor of Science (Hons) Actuarial Science student seeking a 16-week Actuarial, Risk Management, or Data Analytics Internship from 15 March 2027 to 4 July 2027.

Proficient in statistical analysis, predictive modeling, claims reserving, and quantitative risk assessment using Python, R, SQL, Excel VBA, SAS, and Power BI. Proven ability to translate complex datasets into actionable insights for actuarial pricing, loss forecasting, and data-driven business decisions.

INTERNSHIP MANDATE

START DATE

15 Mar 2027

COMPLETION

04 Jul 2027

16 FULL WEEKS • IMMEDIATE READINESS

TARGET TRACKS

Actuarial Pricing & Reserving
Quantitative Risk Management
Insurance & Financial Data Analytics

Predictive Modeling & Forecasting

Multiple Linear Regression, Facebook Prophet, and ML pipelines for macroeconomic and medical cost inflation.

Claims Reserving & Loss Simulation

Stochastic Monte Carlo simulations and tail-risk percentile evaluation (5th & 95th VaR) across 66,000+ claims.

Executive BI & Decision Systems

Interactive Power BI and automated Excel VBA dashboards engineered for real-time parameter stress-testing.

02 // TECHNICAL ARSENAL

Quantitative Architecture

01 / STAT & ML

Python & R Programming

Statistical modeling, time-series forecasting (Prophet), Multiple Linear Regression, and machine learning workflows on macroeconomic & DOSM datasets.

R Studio Prophet Regression Machine Learning

02 / STOCHASTIC AUTOMATION

Excel & VBA Automation

End-to-end stochastic simulation engines, automated data scrubbing for tens of thousands of policy records, and dynamic inflation sensitivity controls.

Excel VBA Monte Carlo Loss Reserving Risk Percentiles

03 / ENTERPRISE DATA

SQL & SAS Analytics

Structured querying, actuarial data manipulation, survival & credibility analysis pipelines, and rigorous statistical validation.

SAS SQL Queries Data Hygiene Quantitative Risk

04 / VISUAL INTELLIGENCE

Power BI Dashboards

Translating dense actuarial outputs into interactive visual stories for pricing committees, expenditure reviews, and stakeholder briefings.

Power BI DAX KPI Storytelling Scenario Sliders

03 // SELECTED WORKS & RESEARCH

Actuarial Portfolio

PROJECT // 01

In Development

Sept 2026 – Present

Final Year Research Project

R Programming Machine Learning Prophet Power BI SAS Excel VBA

Modelling Medical Inflation and Its Macroeconomic Correlations in Malaysia Using Statistical and Machine Learning Methods

An empirical actuarial investigation into Malaysian healthcare cost escalation, pairing official DOSM macroeconomic indicators with modern time-series and machine learning forecasting architectures.

Analyzed Malaysian medical inflation trends using Department of Statistics Malaysia (DOSM) data and evaluated macroeconomic relationships via Multiple Linear Regression, Prophet, and Machine Learning.

Forecasted future medical costs to evaluate national healthcare expenditure and actuarial pricing impacts, building an interactive Power BI dashboard for executive data-driven decision-making.

DATA SOURCE DOSM & Macro Indicators

METHODOLOGY MLR • Prophet • ML

ACTUARIAL APPLICATION Health Pricing & Medical Trend

PROJECT // 02

Completed Engine

Feb 2026 – Aug 2026

Stochastic Claims Reserving

Excel VBA Monte Carlo Simulation Stochastic Modeling Risk Percentiles Actuarial Reserving

Insurance Claims Cost Simulation Using Excel VBA and Monte Carlo Methods

High-volume stochastic simulation engine engineered to quantify aggregate loss liabilities and tail-risk exposure under dynamic inflation regimes.

Built an automated Excel VBA stochastic model to clean, structure, and analyze 66,773 historical insurance claims, projecting aggregate loss liabilities via Monte Carlo simulation.

Created an interactive actuarial dashboard enabling real-time adjustment of inflation parameters and visualizing critical risk percentiles (5th and 95th) for pricing adequacy and reserve planning.

INTERACTIVE PARAMETER PREVIEW

Stress-Test Claims Inflation Assumption

INFLATION SHOCK: +4.5%

SAMPLE COHORT 66,773 Claims

5TH PERCENTILE (FAVORABLE) RM 14.2M

EXPECTED MEAN LOSS RM 18.9M

                    95TH PERCENTILE (TAIL VaR)
                    RM 25.4M
                  

PROJECT // 03

Double Award Winner

Oct 2024 – Feb 2025

Fundamentals of Social Security

Social Security Policy Risk Education Game Mechanics Public Pitching

Social Security Awareness Monopoly Booth ("Sociopoly") — Project Innovation

Gamified financial literacy and social protection simulation translating Malaysian social security frameworks into an engaging public decision-making experience.

Developed and pitched Sociopoly, an original Monopoly-inspired board game educating the public on Malaysian social security and assistance programs, presented to UiTM Seremban 3 lecturers via an interactive awareness booth.

Awarded Best Educational Board Game and Most Innovative Game out of 15 competing groups for exceptional pedagogical impact and mechanism design.

RECOGNITION 01 Best Educational Board Game

RECOGNITION 02 Most Innovative Game

COMPETITION POOL 1st Place / 15 Teams (UiTM)

PROFESSIONAL NETWORK & CREDENTIALS

Connect with Farish Syahmi on LinkedIn

View my full academic progression, actuarial coursework, project updates, and professional endorsements directly on LinkedIn. I am actively engaging with actuarial teams, risk managers, and campus recruiters for the March – July 2027 internship intake.

linkedin.com/in/farishsyahmi

Open Official LinkedIn Profile

https://www.linkedin.com/in/farishsyahmi

#OpenToWork • Internship 2027

Farish Syahmi

B.Sc. (Hons) Actuarial Science | Seeking 16-Week Actuarial, Risk Management & Data Analytics Internship (Mar – Jul 2027)

Python • R • SAS Statistical Modeling

Excel VBA • Power BI Stochastic & BI Systems

View Full Profile & Send Message on LinkedIn

04 // INITIATE DIALOGUE

Ready to Contribute to Your Actuarial & Risk Team.

Available for a 16-week industrial placement from 15 March 2027 to 4 July 2027. Reach out directly via email or LinkedIn to request my full academic transcript and CV.

DIRECT ELECTRONIC MAIL farishsyahmiraimi@gmail.com Click to compose inquiry →

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PROFESSIONAL NETWORK linkedin.com/in/farishsyahmi Connect & message directly →