Award-Winning Actuarial Modeling
Tutors
Award-Winning
Actuarial Modeling
Tutors
Private 1-on-1 tutoring, weekly live classes for academic support, test prep & enrichment, practice tests and diagnostics, and more to elevate grades and test scores.
Based on 3.4M Learner Ratings
UniversitiesSchools & Universities
DeliveredHours Delivered
ProficiencyGrowth in Proficiency
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I am an interdisciplinary educator with an Ed.M. from the Harvard Graduate School of Education and a B.A. from Dartmouth College. My background is primarily in integrated arts learning and museum education and I specialize in visual arts, history and art history, and object-based learning. In all subjects, I take a creative, inquiry-based and learner-centered approach, designing opportunities for each unique individual to meet their learning goals.

I'm not tutoring or buried in my textbooks, you will either find me rock climbing at the Triangle Rock Club, playing Ultimate Frisbee, working on my car, or enjoying the great outdoors (beaches, mountains, forests--you name it, I love it). On rainy weekends I enjoy tinkering with computers and old electronics, playing Pokemon, or picking at my guitar.
I am a recent graduate from a masters program in biostatistics at Columbia University. I received my Bachelor of Arts in biological sciences, with a focus in neurobiology at Northwestern University. In August, I will be starting a doctoral program in biostatistics at NYU. I was a teaching assistant at Columbia University in my department and also have tutored graduate students and undergraduates privately as well. My primary areas of tutoring are math and statistics coursework in addition to math sections on standardized tests such as the GRE and GMAT. I am very passionate about helping students feel more confident and excited about math. In my spare time, I enjoy running, playing piano, and spending time with friends and family.
I am a graduate of Wesleyan University, where I received my Bachelor of Arts in Sociology with High Honors. With eight years of experience working in education, I've tutored students in math, science, history, and English, as well as helped students prepare for standardized tests. I've guided adults towards passing the US Citizenship Exam and taught English in India, where I lived for six months. Whenever I work with a student I personalize the lessons to fit their particular learning style, since I know every student is unique and having the right fit can make all the difference in making learning fun and effective. My strengths are tutoring the social sciences and humanities, as well as making math and standardized tests approachable to students that normally don't like those subjects. In my spare time I like traveling, spending time in the outdoors (climbing & backpacking), meditation, and playing soccer. Next fall I will be beginning my PhD in Education at Harvard University.
I am a rising sophomore at Harvard College and am about to declare as a Mechanical Engineering concentrator, working towards a Bachelor of Science degree. I've always enjoyed sharing my knowledge with my peers and those around me and have done so in both formal and informal settings. I've been a tutor for both Math and Spanish programs in high school and enjoyed the strides I made with students. I am willing to tutor any subject I have a background in, but am strong in mathematics, the sciences, Spanish, history, writing, and ACT prep. I enjoy teaching mathematics most due to the joy I can see in children once they master a topic and can answer even pointed questions meant to stump them, and maybe even put their knowledge to real world use. As a tutor, I like to give a strong foundation to orient my student, and then gradually grant them more freedom and independence until they can feel themselves grasp the concept, pointing out pitfalls or common errors along the way; teachers who used these methods on me always left the most lasting impressions. Outside of my studies, I really enjoy listening to music, both old favorites and new interests, reading classics, and gaming/playing basketball with my friends.
I'm Solange - a recent graduate from Harvard where I studied Sociology & Women's Studies. I've been tutoring for eight years now, and have worked with a wide range of ages and in a wide range of subjects. Some of my specialties are college prep/test taking II worked in the admissions office on campus); social sciences; and literature/writing.
I am a graduate of Washington University in St Louis, where I received my Bachelor of Arts in History with minors in Humanities and Anthropology. Since graduation, I have worked as a tutor, teacher, and director of tutors at a charter public middle school in Boston. During this time I also received my Masters in Mild to Moderate Disabilities from Simmons College. I have worked extensively with students with a range of abilities, including students with specific learning disabilities, emotional impairments, dyslexia, and ADHD. My teaching experience has given me a deep understanding of the knowledge and habits essential to academic success and has given me the opportunity to hone a variety of strategies that ensure students at each level can achieve their academic goals. While I tutor a broad range of subjects, my favorite ones are Reading, Elementary/Middle School Math, History, and Test Prep. In my experience, tutoring is the most rewarding when a student has that "aha!" moment and achieves a new level of understanding and confidence in his/her abilities. I am a firm believer in the transformative power of education, and I see my role to be that of a facilitator and coach who is there to help the student reach his/her goals through individualized support and rigorous practice. In my free time, I enjoy reading, running, practicing my Spanish, and discovering new music. I am also an avid traveler and just got back from a 3 month trip to South America. I look forward to the opportunity to work with you!
I am a junior Mechanical Engineering major at Yale, and I hope to become a Naval Aviator after college. I am also a varsity sailor, and enjoy playing music with friends when I can get some free time. I have been tutoring my fellow students throughout my entire academic career, and I would best describe my tutoring style as one that adapts to each students' needs. For example, I have always tried to frame questions in a different way so that the student can better understand the question. Some students need visual representations of numbers and systems to understand them, and others benefit more by understanding the concepts behind each formula. I prefer to tutor in math and physics, and especially with real world application problems. I hope to help students improve their standardized test scores and their understanding of the math and sciences so that they can achieve their academic goals!
I am proud to be a part of Varsity Tutors! I am originally from San Antonio, TX; I completed my undergraduate education at Rice University in Houston where I received a bachelor's degree in Biochemistry and Cell Biology. Currently, I am in my second year of medical school at Baylor College of Medicine.
I am an aspiring applied mathematician, with particular interest in image processing and climate science. I graduated in May 2017 from Washington University in St. Louis with a bachelor's in physics and mathematics, and am beginning a PhD program in September 2017 at the University of Chicago in Computational and Applied Mathematics. I've tutored introductory physics students for three years and enjoyed it thoroughly, as a chance to help other students while revisiting fundamental concepts to enhance my own knowledge. I'm eager to continue reaching out and helping students of math and physics to succeed and, furthermore, to appreciate the beauty and power of these subjects.
I am a graduate of McGill University (BA First Class Honors) and the University of Edinburgh (MSc First Class Honors with Distinction) with over eight years of tutoring experience. I am currently a curriculum developer for a company which creates relatable and culturally-literate courses for middle and high-schools, and am particularly adept at communicating and explaining concepts in a quirky, engaging, and intelligent manner. I was named Scotland International Young Thinker of the Year 2014 for exactly that sort of work. Much of my tutoring background is in test-prep and essay coaching, which I enjoy because it allows the tutor and student to think strategically together, and work as a team to achieve concrete results. I have worked with students ranging in age from 6-32, and believe that, in an educational context, a few jokes never hurt anybody. I love reading and learning, and my educational approach is centered around making the material just as engaging to students as it is to me. I think J.K. Rowlings, the writer of Harry Potter, is just as brilliant as Stephen Hawking, and in my free time, I manage my (terrible) fantasy baseball team, write songs for my comedy band, and crack jokes about terrible science-fiction movies with my friends.
I am a graduate of the University of Chicago where I received my undergraduate degree in political science. Right after graduation, I worked as an academic and test prep tutor as well as admissions consultant in Hong Kong. For the past two years, I worked with a number of students to help prepare them for college in the United States.
Testimonials
Because the right Actuarial Modeling tutor makes all the difference.
Average Session Rating – Based on 3.4M Learner Ratings
Top 20 Business Subjects
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Frequently Asked Questions
Students often find mortality modeling and life table construction challenging—understanding how to interpret and apply age-specific mortality rates requires both statistical rigor and intuition about demographic patterns. Stochastic modeling is another major pain point, as it requires students to move beyond deterministic calculations and think probabilistically about future scenarios using Monte Carlo simulations. Additionally, many students struggle with the connection between actuarial assumptions (interest rates, inflation, lapse rates) and how small changes in these inputs dramatically affect reserve calculations and pricing—this requires understanding sensitivity analysis and the underlying business logic, not just plugging numbers into formulas.
Actuarial modeling is specifically designed to value long-term contingent liabilities—like insurance claims or pension obligations—where the timing and amount of future cash flows depend on uncertain events (mortality, morbidity, policyholder behavior). Financial modeling, by contrast, typically focuses on corporate valuation or investment analysis. Actuarial models require mastery of present value calculations, force of mortality, and assumptions about policyholder behavior over decades, whereas financial models emphasize income statements and cash flow forecasting. Understanding this distinction helps students recognize why actuarial assumptions matter so much and why a small error in mortality assumptions can create massive liability misstatements.
Actuarial assumptions—mortality rates, interest rates, lapse rates, expense assumptions—are the foundation of every model, and incorrect assumptions lead to mispriced products or inadequate reserves. Many students can calculate present values mechanically but struggle to justify *why* they chose specific assumption values or how to stress-test them. Expert tutors help students move beyond formula application by teaching them to analyze historical data, understand regulatory guidance (like NAIC or IFRS 17 requirements), and think critically about how economic conditions and policyholder behavior should influence assumption selection. This bridges the gap between academic exercises and real actuarial practice.
Reserve calculations often feel abstract because students are computing the present value of future obligations without seeing the underlying cash flow projections clearly. The key is working through multiple methodologies—prospective reserves (valuing future obligations), retrospective reserves (accumulating past experience), and modified reserves—using the same product so students see how different approaches should yield equivalent results. Tutors help by building intuition around why reserves increase with policy duration, how interest assumptions affect reserve levels, and how to reconcile reserves across different calculation methods. Working through real insurance product examples (term life, whole life, annuities) makes the logic concrete rather than theoretical.
The jump from single-scenario calculations to running thousands of Monte Carlo simulations intimidates many students, but breaking it into stages helps: first master the underlying deterministic model completely, then understand what random variables you're modeling (interest rates, mortality, policyholder behavior), then learn to generate and interpret scenario results. Students often struggle with interpreting stochastic output—understanding percentiles, tail risks, and how to summarize thousands of scenarios into actionable insights. Expert tutors help by using software tools (Excel, Python, or actuarial packages) to show how small changes in assumption distributions dramatically shift risk profiles, making the abstract concept of stochastic variation tangible.
Exam preparation focuses on specific formulas, problem-solving speed, and test-taking strategy within a narrow scope, whereas Actuarial Modeling tutoring develops deeper conceptual understanding of how models work in practice—why certain assumptions matter, how to validate model outputs, and how to communicate results to non-actuaries. Many students pass exams by memorizing formulas but struggle when asked to build a model from scratch or defend their assumptions in a real business context. Tutors help bridge this gap by emphasizing the *why* behind each calculation, showing how exam topics connect to actual product pricing and valuation, and building problem-solving flexibility beyond what practice exams require.
Excel is foundational—students must master PV formulas, data tables, scenario analysis, and building dynamic models that allow assumption changes to cascade through calculations. Python and R are increasingly important for stochastic modeling and handling large datasets, while specialized actuarial software (Prophet, MoSes, or Axis) is used in industry but less common in academic settings. Expert tutors help students understand *when* to use each tool and *why*—building a simple reserve model in Excel to understand logic, then scaling to Python for stochastic simulations. This progression prevents students from treating software as a black box and instead teaches them to think critically about model design and output validation.
The gap between textbook examples and real products is where many students struggle—a theoretical problem about a 10-year term life policy is very different from modeling a complex universal life product with variable premiums, surrender charges, and policyholder behavior assumptions. Expert tutors use real product structures (or realistic case studies) to show how actuarial modeling applies: pricing a product requires projecting cash flows under various scenarios, reserving requires valuing the liability the insurer has created, and profitability analysis requires understanding how assumptions affect earnings. This approach transforms Actuarial Modeling from abstract mathematics into a business tool, helping students see why actuaries matter to insurers and pension funds.
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