Anubhav Sharma is an Associate Software Engineer at Morningstar in the Quant Research Technology Team. He works in
developing an application that Quant and Manager Research analysts employ for fundamental research on funds, ultimately
fueling generation of
Morningstar Medalist Rating— a forward-looking rating for funds based on expected net-alpha.
In 2023, Sharma graduated cum laude from Haverford College double
majoring in Computer Science (Honors) and Mathematics. His senior thesis
was
titled
Finite Field Arithmetic and its Applications to Cryptography.
While at Haverford, he served as Officer of Academics in Students' Council
and junior representative in Honor Council.
In college, his other leadership roles include being an International Student Resource Person,
First Generation Low Income (FLI) Student Leader, South Asian Society Co-head
and Customs Committee member. He also worked as Teaching Assistant
for several computer science courses and as Advising Intern for the career office.
During summer of his junior year, he was a
Technologist Intern for Morningstar Quantitative Research
where he implemented Factor Augmented Vector Autoregression (FAVAR) in Python to analyze the
evolution of macroeconomic variables in response
to macroeconomic and sectoral shocks, specifically
the Federal Funds Rate.
Sharma is also a candidate for
Master of Science in Engineering in
Computer and Information Science (CIS/MSE)
at the University of Pennsylvania. Part of the program,
he has taken courses like Operating Systems and Machine
Learning.
In 2021, he studied abroad
at King's College London and took
courses like cryptography and algebra!
Born and raised in Nepal,
Sharma completed his School Level Certificate
from St. Xavier's Godavari School in 2016 and
Cambridge International A-Levels from
Rato Bangala School in 2018.
