Data Scientist (SG) - Fintech

Our client is a Silicon Valley based Series A startup, an artificial intelligence (AI) company using proprietary machine learning (ML) algorithms and diverse datasources to build high-performing predictive models which reduce risk and unlock credit to businesses. Their solutions have been deployed globally at Fortune 500 companies and large financial institutions. 

This is an outstanding opportunity to join an early stage fintech startup with a dynamic team which is expanding in Singapore to serve the rapidly growing Asian client base. You will be building the future of trade finance and SME lending using cutting-edge AI/ML techniques. 

Responsibilities

We seek an independent and highly-driven continuous learner who embraces the varied challenges of data science. You are able to take datasets in any format and possess the skills and tools to make sense of diverse and complex data. You are naturally curious and never stop asking “why” and “what-if” as you use data to uncover new insights and hypotheses.  

Reporting to the Chief Data Scientist, you will be creating the technology foundation for our fastest growing region. 

  • Carry out data processing and analysis including statistical analysis, variable selection, dimensionality reduction 

  • Design, evaluate, and monitor machine learning models and advanced algorithms that help the business to drive decisions in underwriting, credit, and collections. 

  • Analyze data to identify factors that are indicative of lending and supply chain risks 

  • Collaborate with business, product and engineering teams to generate internal and external reports and dashboards 

  • Construct ETL processes to enable data analytics capabilities on our platform 

  • Highlight and review data anomalies and quality issues 

  • Python, Data Analysis, SQL, Statistics, Numpy/Scipy/Pandas/Scikit-learn, Keras, Tensorflow 

Requirements

Minimum 3 years of work experience in an analytical position 

  • Ability to work with messy datasets 

  • Independent, inquisitive, and insightful 

  • Keen eye for detail and ability to question assumptions around data 

  • Ability to perform some basic software development 

  • Prior experience working with datasets and generating new insights

 

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