Hong Kong + Singapore Discovery Program: April 2027 (Quantitative Trading)

Формат работы

onsite

Тип работы

fulltime

Грейд

trainee

Английский

Страна

Singapore/China

Вакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:

TL;DR

Hong Kong + Singapore Discovery Program (Quantitative Trading): Exploring systematic and semi-systematic trading strategies through panel discussions, employee meet-and-greets, and interactive gaming sessions with an accent on quantitative research, machine learning, and collaborative problem-solving. Focus on understanding how traders, developers, and researchers use data-driven methods to design effective strategies for global markets.

Location: Hong Kong, Hong Kong; the program is intended for students attending a university in Hong Kong or Singapore.

Company

hirify.global is a quantitative trading firm using scientific research, technology, machine learning, and market expertise to develop trading strategies.

What you will do

Explore systematic and semi-systematic trading strategies.
Take part in panel discussions and meet-and-greets with traders, developers, and researchers.
Participate in interactive gaming sessions focused on trading problem-solving.
Gain insight into the day-to-day work of trading, development, and research teams.

Requirements

Attend a university based in Hong Kong or Singapore.
Plan to graduate in 2029.

Culture & Benefits

Interactive and evaluative discovery program starting in April 2027.
Collaborative environment bringing together researchers, engineers, and traders.
Outstanding participants may be considered for a US-based internship the following year.
Outstanding participants may be considered for full-time placement in the Hong Kong office after graduation.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →