Team Lead / Senior Data Scientist


Bangkok, TH
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 03/01/2021
  • Website:
  • Company Address: Thaniya Plaza Office Building, 21th Floor, Zone A-C, 52 Silom Road, Suriyawongse, Bangrak, Bangkok, 10500, TH


FINNOMENA's goal is to unlock the investment potential in majority of Thai people who have little time or investment-know-how to grow wealth. FINNOMENA provides extraordinary tools and unbiased knowledge and advisory needed in investing and personal financial planning.

Job Description

We have been established with our committed aspiration to open the new phenomenon space for creation, promotion and education of finance and investment. We connect knowledgeable gurus in the finance and investment circles to exchange, share knowledge and their experiences through online channels and various media continuously.

With years of experience in the money market, capital market, we have a good understanding of the savings and investment mechanisms of the life path of each guru. We believe that if we combine each individual's strengths together, this will be able to build a comprehensive knowledge base from the basics to the professional level for investors. This will certainly benefit a broader range of investors.The experience that investors get from FINNOMENA today is just the first small step, as we still have a plan to develop this area constantly according to our mission and focus on the financial industry's Mega Trend in the field of FinTech. This means that technology (Tech) will play an important role in the financial sector (Fin) in transforming consumer behavior into something. We aim to unlock "potential" as an investor to be able to overcome their own limits. Finally we believe that successful investors are not the ones who invest in others, but those who are truly knowledgeable and able to invest by themselves.


FINNOMENA has achieved more than 70 million views over the past year, a combined total of 1.2 million online subscribers, and over 180,000 members.

FINNOMENA now has become the number 1 brokerage firm in Thailand, representing investment advice of over 10 billion baht at the moment.

FINNOMENA is looking to strengthen our expanding FinTech teams, our office is located in the heart of Bangkok, Silom Road.


News: Finnomena eyes $3bn in AUM by 2023


Job Title: Lead / Senior Data Scientist


This position required for rapidly expanding team and currently has opportunities for individuals from a DATA SCIENCE/ Machine Learning and analytics background with experience in financial technology, banking or wider FinTech world.


  1. Act as a Team Lead of our smart and naughty data scientists/ data engineers.
  2. Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to leverage our unique data to predict, prevent, and solve business issues/ topics.
  3. Identify valuable data sources and automate collection processes
  4. Communicate with stakeholders to understand the challenges they face and present clear data to convince them of clear strategies and solutions.
  5. Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics, and analyze large amounts of information to discover trends and patterns.
  6. Design and implement data models to explain in solving the specified problems using various techniques such as data mining, statistical modeling, and machine learning.
  7. Apply quantitative analysis, and data mining to extract, capture and understand data to form an opinion on how to best help our clients and derive relevant insights for strategies in customer interaction and FINNOMENA product or business growth.
  8. Lead and participate in the development, validation and delivery of algorithms, statistical models and reporting tools, and solve complex analytical problems
  9. Develop or use algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
  10. Develop/ Provide insightful visualizations to make your complex analyses accessible to a broad audience, or present information using data visualization techniques as well as recommend the next course of actions to decision makers and other functional groups.
  11. Propose solutions and strategies to business challenges, as well find opportunities to craft FINNOMENA products out of analyses that are suitable for multiple clients.
  12. Develop prototypes and run experimentation for business intelligence tools, solutions, and techniques
  13. Partner with a variety of internal teams and external partners to provide comprehensive solutions.
  14. Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
  15. Evaluate data management, data quality and data access processes for gaps, inefficiencies and opportunities; provide recommendations for improvement.
  16. Other jobs as assigned


Are you passionate about data, are you a natural problem solver, can you confidential take on the responsibilities described above?

If so, then please apply with your CV today, ideally successful candidates should have a mix of the following qualifications:


  • Thai nationality
  • 5+ years of experience in data-based decision-making or quantitative analysis, software or hardware development
  • Bachelor's degree or Master’s degree in analytical field such as Statistics, Mathematics, Computer Science, Economics, Operations Research or related Engineering field.
  • Experience in ETL & Data related tools e.g. SQL, Google Tag Manager, Spark, and etc.
  • Experience in understanding and analyzing data using statistical software (e.g. Python, SAS, R, Stata or others)
  • Competence in Excel, PowerPoint/ G Slides), Tableau
  • Previous exposure to financial services, FinTech, credit cards or merchant analytics is a plus, but not required
  • Insight and experience of applying Data Science in one or more of the following areas: Business Engagement, Business Growth, Customer Experience & Interaction, FinCrime, Retail Engagement and Growth
  • Understanding of modern machine learning techniques and their mathematical underpinning, such as classification, regression, recommendation systems and natural language processing and unsupervised learning approaches.
  • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
  • Experience leading projects to deliver complex data management solutions; working with internal and external partners 
  • Demonstrates strong ability to communicate technical concepts and implications to business partners.
  • Anticipates and prevents problems and roadblocks before they occur.
  • Strong in communication both written and spoken and presentation skills as well fluent English speaking & writing communication

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.