This is a great opportunity for software developers who have strong coding skills and a growing interest in Data Science-oriented work. 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.
I. 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.
- 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.
II. What You’ll Bring
*Must Have
- Experience & Programming
- Strong coding ability in Python (PEP8, Jupyter Notebook, NumPy, Pandas) and/or C++ (STL, OOP).
- Solid software engineering practices: version control (Git), clean architecture, testing, documentation.
- 4+ years of total experience; 2+ years with Python/C++ as primary languages.
- System Design
- Apply design patterns effectively in building modular and maintainable systems.
- Take ownership of designing entire systems from scratch with scalability and long-term maintenance in mind.
- Mathematics and Algorithms
- Strong foundation in mathematics, especially probability and statistics.
- Solid understanding of algorithms and data structures.
- Able to solve problems at the level of LeetCode Medium-Hard during live coding interviews.
- Awards or achievements in programming contests (ACM ICPC, LeetCode, Codeforces) or mathematics Olympiads.
- Language Skills
- Strong communication skills in English (both spoken and written) to collaborate with global teams
*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.
III. Why You’ll Love Working Here
- 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.
- 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, long-term 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/“