I. About The Role
This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing team. In this role, you will collaborate closely with our team of quantitative researchers, data engineers, technologists, and data sourcing experts to analyze and enrich a broad range of structured and unstructured big data. We are specifically looking for candidates with exceptional logical reasoning, strong proficiency in Python and C++, and a demonstrated track record in competitive programming or mathematical problem-solving.
II. What You’ll Do
- Enrich a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering.
- Enhance data quality & integrity by developing validation tools to measure the effectiveness of data enrichment.
- Become a domain expert on deep learning and machine learning applications, analyzing the underlying dynamics and behaviors within complex datasets.
- Develop insights from the data and collaborate with the research team to generate tradable signals.
- Build utility tools to further automate the software development, testing, and deployment workflow.
- Provide technical support for global researchers by diagnosing root causes of technical issues and proposing actionable solutions.
III. What You’ll Bring
- Advanced proficiency in Python and C++, including Python tools like Jupyter Notebook and coding standards like PEP8, and C++ tools like STL and object-oriented programming.
- Practical experience with and theoretical understanding of deep neural networks and other
- machine learning techniques.
- Ability to implement robust data science pipelines and real-time applications.
- Strong academic background – minimum of a Bachelor’s degree in a technical or quantitative field (e.g., Mathematics, Computer Science, Engineering, Physics).
- Preference given to candidates who have won prizes or recognitions in programming competitions (e.g., ACM ICPC, LeetCode Contests, Olympiads) and/or have a proven strength in mathematics.
- Excellent software development skills – ability to convert abstract use cases into functional codebases.
- Highly self-motivated with a passion to learn and explore new technologies.
Nice To Have
- Experience as a Data Scientist or Data Engineer in finance or investment settings.
- Familiarity with Linux/Unix shell and Git.
- Practical experience with time-series forecasting and analysis.
IV. Why You’ll Love Working Here
1. Workplace
- Join a young and dynamic team with awesome projects applying the latest technology.
- Working with specialists from all over the world provides you with a fantastic opportunity to expand your skill set.
- Culture of openness and honesty in which individuals are respected and encouraged to achieve their full potential.
2. Benefits Comprise
- 13th-month salary and attractive performance bonuses.
- Extra healthcare scheme and accident cover insurance.
- Free parking and allowances: Lunch, Marriage, Newborn baby, Bereavement and others applied.
- A spacious pantry that is fully equipped with coffee maker, fridge, microwave and more for your most comfortable lunch time.
- A wide range of sport and social activities: Yoga, Football, Badminton, Tech clubs, Charity, etc.
- Annual company trip and teambuilding.
- Chance to be honored quarterly and annually with recognition awards for individuals, teams, longterm service, etc.
- Advanced English and appropriate soft skills training to assist your career development.
- Engaging monthly events: Happy Gathering, Mini Game, Team Birthday Celebrations, Company’s Year-end party, etc.
Location: QTSC1 Building, Quang Trung Software City, District 12, Ho Chi Minh City.
Working Time: 08:30AM-06:00PM from Monday to Friday (Lunch break 1.5 hours).
Gentle notice to our candidate about Decree No.13/2023/NĐ-CP
“According to Decree No.13/2023/NĐ-CP on protecting personal data, LARION would apply “Personal Data Processing Agreement” with all candidates to ensure compliance with the decree. By submitting this application to LARION, you agree to allow LARION to proceed your provided information in accordance with “Personal Data Processing Agreement” that you have read, fully understood and agreed to the entire content at link https://larion.com/privacy-policy/”