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Kylie Le Email & Phone Number

Quantitative Research Intern @ Optiver | Statistics & Computer Science @ University of Melbourne at Optiver
Location: Australia, Australia, Australia 6 work roles 3 schools
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Current company
Role
Quantitative Research Intern @ Optiver | Statistics & Computer Science @ University of Melbourne
Location
Australia, Australia, Australia
Company size

Who is Kylie Le? Overview

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Quick answer

Kylie Le is listed as Quantitative Research Intern @ Optiver | Statistics & Computer Science @ University of Melbourne at Optiver, a company with 857 employees, based in Australia, Australia, Australia. AeroLeads shows a matched LinkedIn profile for Kylie Le.

Kylie Le previously worked as Quantitative Research Intern at Optiver and Research Intern at Peter Maccallum Cancer Centre. Kylie Le holds Bachelor Of Science, Mathematics And Statistics, Computer Science, First Class Honours (H1) from University Of Melbourne.

Company email context

Email format at Optiver

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Optiver

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Profile bio

About Kylie Le

Kylie Le is a Quantitative Research Intern @ Optiver | Statistics & Computer Science @ University of Melbourne at Optiver. They possess expertise in dbt, pandas, scikit learn, consulting, data warehousing and 18 more skills. They is proficient in English.

Listed skills include Dbt, Pandas, Scikit Learn, Consulting, and 19 others.

Current workplace

Kylie Le's current company

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Optiver
Optiver
Quantitative Research Intern @ Optiver | Statistics & Computer Science @ University of Melbourne
amsterdam, noord-holland, netherlands
Website
Employees
857
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6 roles

Kylie Le work experience

A career timeline built from the work history available for this profile.

Quantitative Research Intern

Current

Sydney, New South Wales, Australia

Nov 2024 - Present

Research Intern

Melbourne, Victoria, Australia

BioinformaticsUndergraduate Research Opportunities Program (UROP) - Commonwealth Scientific and Industrial Research Organisation (CSIRO)

Feb 2024 - Aug 2024

Analytics Intern

Melbourne, Victoria, Australia

Competitive Intelligence

Jan 2024 - Apr 2024

Research Scholar

Melbourne, Victoria, Australia

Stochastic ProcessesARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS)

Jan 2024 - Feb 2024

Junior Analyst | Wharton Analytics Fellows

Philadelphia, Pennsylvania, United States

Data science consulting project with Zillow Group

Sep 2023 - Dec 2023

Data Analytics & Engineering Intern

Hanoi Capital Region

Jun 2023 - Aug 2023
Team & coworkers

Colleagues at Optiver

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3 education records

Kylie Le education

Bachelor Of Science, Mathematics And Statistics, Computer Science, First Class Honours (H1)

Statistics and Stochastic Processes specialisation Concurrent Diploma in Computing Australian Mathematical Sciences Institute (AMSI).

FAQ

Frequently asked questions about Kylie Le

Quick answers generated from the profile data available on this page.

What company does Kylie Le work for?

Kylie Le works for Optiver.

What is Kylie Le's role at Optiver?

Kylie Le is listed as Quantitative Research Intern @ Optiver | Statistics & Computer Science @ University of Melbourne at Optiver.

Where is Kylie Le based?

Kylie Le is based in Australia, Australia, Australia while working with Optiver.

What companies has Kylie Le worked for?

Kylie Le has worked for Optiver, Peter Maccallum Cancer Centre, Illumina, University Of Melbourne, and The Wharton School.

Who are Kylie Le's colleagues at Optiver?

Kylie Le's colleagues at Optiver include Christian Snitch, Andrew Claxton, Simho Lee, Andy You, and Justin William Hughes.

How can I contact Kylie Le?

You can use AeroLeads to view verified contact signals for Kylie Le at Optiver, including work email, phone, and LinkedIn data when available.

What schools did Kylie Le attend?

Kylie Le holds Bachelor Of Science, Mathematics And Statistics, Computer Science, First Class Honours (H1) from University Of Melbourne.

What skills is Kylie Le known for?

Kylie Le is listed with skills including Dbt, Pandas, Scikit Learn, Consulting, Data Warehousing, Arduino, Corporate Finance, and Matlab.

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