Responsibilities:

・ Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

・ Identify, hypothesize, and implement the analytics business problems, secure proof of concepts and project delivery

・ Deliver analytical solutions for the business, creating compelling explanations and plans to drive adoption in the business

・ Selecting features, building and optimizing classifiers using machine learning techniques

・ Use statistical methods to conduct descriptive, predictive and prescriptive model building, and summarize/present findings in an impactful manner.

・ Machine learning using state-of-the-art methods

・ Coordinate with different functional teams to implement models and monitor outcomes.

・ Support business leader’s benefits realization of improved sales (new business ANP), value of new business (VNB), operational efficiency, Net promoter Score (NPS), Customer Centricity and other agreed measures within the Data Analytics program

・ Team player, able to support wider needs in visualization, data management and BI as the need arises

・ Be part of the global analytics community, presenting and sharing best practices to improve global and local capability

Requirements:

Experience:

・ 5+ years of experience in the field of advanced quantitative techniques while working for leading global academic institutes or corporate innovation research labs or analytics organizations of large corporate or in consulting companies in analytics roles

・ Proven track record of professional success in advanced analytics role.

・ Very good Knowledge of the most important classical machine learning models (Classification, Regression, Clustering, Time-Series Analysis, Dimensionality Reduction etc.)

Business Knowledge/Technical Skills:

・ Deep technical competency in quantitative methods and/or business analytics and problem-solving skills in industrial settings

・ Proven ability in model building and application experience in data mining techniques and tools (e.g., R, Python, SQL)

・ Competent programming aptitude with excellent computation and data mining skills

・ Visualization tools (Qlik Sense, Power BI) skills

・ Strong analytical, problem-solving, and organizational skills, understands what it takes to deliver software with exposure to large-scale systems

Leadership Competencies:

・ Self-motivated to continuously upgrade one’s domain knowledge, keep abreast of latest developments in the field and evaluate its application in the business area on a consistent basis

・ Demonstrated ability to establish relationships and build rapport in order to influence colleagues at all levels, uncover business issues and identify needs

・ Demonstrated ability to present and communicate concisely and clearly with all levels of financial, non-financial, technical, and executive audiences

Language:

・ English: Advanced, Japanese: Intermediate

Preferable:

・ Insurance industry domain knowledge

・ Azure certifications

・ Hands-on experience with Spark, or the Hadoop ecosystem advantageous