Job Description

This is a highly unique opportunity for a Data Engineer to join a new and rapidly growing team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured big data.

I. What You’ll Do

Enriching a wide range of structured and unstructured data into datasets.
Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment.
Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data.
Develop insights based on the data and collaborate with the research team to generate tradable signals.
Developing the utility tools that can further automate the software development, testing and deployment workflow.
Using your expertise to provide technical support for global researchers, including diagnosing root causes of technical problems and proposing solutions to developers.

II. What You’ll Bring

Must have:

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
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
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 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.
Premium Healthcare and Accident insurance.
Annual healthcheck package.
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, 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.
Exclusive company supporting funds to ease your personal loans of Home, Vehicle, Tuition, etc.

Location: QTSC 1 Building, Quang Trung Software City, Trung My Tay Ward (District 12), Ho Chi Minh City.

Working Time: 08:30 AM – 06:00 PM 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/“