Finhay – a fintech company, which provides small and medium investors with technology solutions and smart applications that are applicable to savings and investments in VietNam. Finhay’s financial products are based on the digital platform to enhance its users’ diversified and ultimate personal portfolios. At the same time, Finhay prioritizes financial integrity and users’ benefits, allowing them to save, or invest their limited capital flexibly, and build their desired assets, hedging their future. Finhay was certified as an “Enterprise of Science and Technology” by HaNoi Department of Science and Technology, Finhay was also one of the two fintech companies in VietNam, which were listed in “2019 World Top 100 Fintech” – assessed by KPMG.

If you are an experienced Data Scientist who is driven to deliver business value, passionate about extracting insights and patterns from data, and enjoys tackling challenging problems, this exciting position is for you.

As a Data Scientist, your primary responsibility will be to design and build our data infrastructure and develop features that leverage the power of data to deliver value to our customers. Your daily tasks will encompass a wide range of activities, including but not limited to:

Developing and implementing data-driven solutions: Utilize your expertise to solve complex business problems by developing and implementing data-driven solutions.
Analyzing large datasets: Dive into extensive datasets, identify trends, and extract meaningful insights that can guide decision-making processes.
Designing experiments and measuring impact: Design and conduct experiments to measure the impact of product changes, analyzing the results to gain valuable insights.
Building predictive models: Apply your knowledge of machine learning algorithms to develop accurate and robust predictive models.
Collaborating with cross-functional teams: Work closely with cross-functional teams to ensure successful implementation of data science projects, fostering collaboration and communication.
Integrating data science into products: Collaborate with software engineers to seamlessly integrate data science methodologies and solutions into our products.
Researching new technologies and techniques: Stay updated on the latest technologies and techniques in the field of data science, actively researching and proposing innovative ideas to enhance existing processes.
Monitoring and improving model performance: Continuously monitor the performance of models in production and propose improvements to optimize their effectiveness.
Staying current with industry trends: Stay abreast of industry trends and best practices in data science, proactively applying this knowledge to enhance our data-driven strategies.
Mentoring and providing technical guidance: Share your expertise and mentor junior team members, offering technical guidance and support as they develop their skills.

Bachelor’s degree or higher in computer science, mathematics, statistics, or engineering (or a related field).
Proven experience in applying machine learning techniques to large datasets.
Demonstrated experience in developing, building, and delivering machine learning models to production.
Fluency in Engish.
Experience with NLP/LLM is a plus.
Experience with investing & trading in the stock market is a plus.

We offer a competitive compensation package and a dynamic work environment that encourages innovation and professional growth. Join our team and contribute to the cutting-edge work we do in leveraging data to drive business success.