Data Analyst (SG)- FinTech Startup

Our client is a fast-growing and exciting FinTech start-up based in Singapore. They are a pioneer in this field as agnostic super-lenders, and they provide their investors access to a portfolio of loans with double-digit returns. Their goal is to fill a consumer and corporate credit gap that banks are unable to serve.

Summary:

  • Understand the client’s business needs and how our technology can help

  • Lead the discussion with the client on the best solution

  • Build a project analysis framework for the business solution – create analysis plan, work on hypotheses to test, build models, etc.

  • Guide the team in the processing, cleansing, and verifying the integrity of data used

  • Apply data mining techniques and statistical analysis to uncover insights from data

  • Present results in a visual and client-ready manner using existing tools

  • Create standard procedures, process and best practices for the Big Data analysis to be used for current and succeeding projects

Qualifications :

  • 3+ years of experience in preparing datasets (big data, preferably) and building statistical models.

  • Significant experience in machine learning

  • Bachelor's or Master’s degree in Statistics or Data Science

  • Strong understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

  • Advanced skills and daily usage of big data software such as Tableau, Qlikview, Python, R

  • Advanced skills in standard MR data tools such as SPSS, Excel, Q is a plus

  • Experience in using data mining tools/library such as Pyspider, MechanicalSoup, Beautiful Soup, Scrapy, rvest is a plus

  • Knowledge of SQL query, and experience in using DB tools such as DBeaver is a plus

  • Knowledge of digital marketing (i.e. Google Analytics, SEM, Programmatic Advertising) is a plus

  • High Level of professionalism and integrity

  • Drive to learn and master new technologies and techniques

  • Strong problem-solving skills – able to find various ways to solve problems and decide which solution to move forward

  • Ability to work under pressure and tight timings

  • Team oriented, but highly independent for their own projects

  • High level of organizational skills and ability to prioritize

  • Excellent verbal and written language skills for English (required)


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