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【Data Scientist(Cyber Risk/Product Dev/Pricing/Finance)】/Major Insurance Company

公司名称
G Talent at Bizmates, inc.
职位编号
134876
地点
东京都 Shinjuku
发布日期
2019年10月15日
行业
保险/养老基金
职务
数据库设计/开发
工作类型
全职 / 有工作经验者 (非管理层)
工资
¥4.0M ~ ¥10.0M/年

职位要求

  • 英语: 熟练(商务交流)
  • 日语: 良好(日常会话)
  • 目前必须住在日本
  • Able to speak and communicate effectively in Japanese
  • Data Analysis 3 year Experience
  • 提供签证担保

描述

【About the Company...】
The company deploys various businesses: Domestic P&C Insurance as its core business, Domestic Life Insurance, Overseas Insurance, Financial and Other Services. Their operation network is in 30 different countries. Among IT companies, the position of being a member of a financial institution corporate group is extremely valuable, and there are many opportunities to collaborate with many manufacturers, vendors, consulting companies, IT companies, etc., and have many opportunities to come into contact with new technologies.

The Analytics Department, which will be assigned to the department, will promote the digital transformation of the entire group using AI, big data and IoT.

There are many highly specialized members such as analysts who develop insurance risk assessment models and data scientists who analyze big data, and the background of members ranges from financial institutions, manufacturers, consulting companies, researchers, etc.

----------------------------------【Job Description】----------------------------------

■Data Scientist (Finance)
As a data scientist, this position mainly focuses on non-life insurance finance, including refinement of pricing for warranty insurance, refinement of pricing for mobile compensation insurance and residual value insurance for aircraft, corporate scoring using AI, and automation of underwriting. -You will be involved in the promotion of various data analysis and model development projects related to the new risk field, as well as planning and product planning based on the analysis results.

-Example of analysis
・ Mobile phone compensation and mobile residual value insurance pricing elaboration, model development
・ Price elaboration and model development for home appliance extended warranty insurance
・ Corporate risk scoring using natural language processing technology
・ Underwriting automation using AI and machine learning

■Cyber risk Research and Development
In this position, research and development of models related to cyber risks that are attracting attention. You will be responsible for a wide range of data analysis and insurance risk analysis operations, as well as joint research projects with security vendors, leading the practical development of the latest technologies and knowledge.
Those who have risk assessment experience in the IT security field are welcome!

・ Investigation, research, and development of cyber risk assessment models
・ Insurance risk quantification using a vendor-provided cyber risk assessment model
・ Cyber ​​insurance product development and sales expansion support tool construction, etc.

■Data scientist (member)
In this position, as a data scientist you will be involved in the promotion of various data analysis and model development projects, and planning and product planning based on the analysis results on various products related to the non-life insurance / life insurance and nursing care fields, such as product development using car driving data and healthcare data, insurance underwriting and payment efficiency, marketing, nursing care quality improvement, etc.
<Analysis theme example>
・ Development of driving diagnosis scores combining driving data, image data, vital data, etc. ・ Development of health support insurance combining health diagnosis, receipt data, etc.

■Data scientist (Project Lead)
In this position, as a data scientist project leader you will be involved in the promotion of various data analysis and model development projects, and planning and product planning based on the analysis results on various products related to the non-life insurance / life insurance and nursing care fields, such as product development using car driving data and healthcare data, insurance underwriting and payment efficiency, marketing, nursing care quality improvement, etc.
<Analysis theme example>
・ Development of driving diagnosis scores combining driving data, image data, vital data, etc. ・ Development of health support insurance combining health diagnosis, receipt data, etc.

■Data scientist (Development of insurance products using digital technology, IoT)
Catch up on the latest technology and collaborate with domestic and overseas partners such as startups. Promote introduction of IoT and AI technology to insurance company customers while linking digital technology such as IoT.
Development of integrated non-life insurance products incorporating technology, new risks (risks that have not been insured in the past). We will promote the development of new non-life insurance products.

Example:
・Development of insurance products and risk quantification technology using IoT technology
・ Collaborative creation of IoT solutions (technology and insurance) with domestic and overseas partners
・ Planning and promotion of new IoT-related business in the company's group

■Data scientist (Implementation of New Technology Research, PoC and IoT Utilization)
This position will work with the company's Digital Strategy Department to promote the use of AI across the entire group, and will be responsible for research and PoC planning and execution to introduce the latest technologies such as deep learning into the insurance business.

Main:
・ Analysis using the latest technology and PoC project management startups and collaboration with AI vendors)
・ Interviews with companies in the group (product development department and business department), setting of new technology utilization areas, PoC planning proposals and consulting
・ Research on new technologies (academic papers, case studies including overseas, digital / AI startup surveys and interviews)
・ Coordination with relevant parties to introduce technology proven at PoC

■Data Scientist (Natural Language Processing)
In this position, the latest natural language processing and text mining technology will be used to promote the development of non-life insurance products and the reform of insurance operations.
Overseas, models are being developed to estimate future risks based on information extracted from websites, news, and papers.
We hope that you will contribute to improving the technical capabilities of the Group through various surveys, demonstration experiments, and collaboration with technology companies.

Example:
・ Analysis and project management using natural language processing technology / text mining technology (may be linked with startup)
・ Develop new mathematical models by combining information extracted from text data with other data
・ Interview with product development departments and business departments, setting areas for utilizing natural language processing technology, planning proposals, consulting
・ Research on natural language processing technology (academic papers, case studies including overseas, digital / AI startups / interviews)
・ Coordination with related parties to introduce the developed technology into business

■Data Scientist (Pricing and Actuary)
This position is responsible for supporting product development and improving profitability through actuarial activities.

In particular,
・ Development of pricing model for corporate insurance products
Develop new risk pricing models for companies.
・ Premium calculation, profitability analysis, risk quantification
・ Development of insurance products using actuarial models
・ Optimization of insurance portfolio

The new risks that the company is currently working on include areas such as traps, recalls, D & O, and cyber.

■Data Scientist (Solution Planning)
This position is against new risks (risks not previously insured). Develop measures to develop new non-life insurance products and promote further growth of existing products,
New business model planning (e.g. new value added to customers with a focus on risk management)and will play a role in driving business growth. You will be consistently involved in a series of processes from creation of new value (business) to materialization and realization
 Example:
・ Development of new insurance products and services using financial data (in collaboration
with insurance company event managers, including data analysis)
・ Examine and implement measures to support growth of existing products (collaborate with insurance company event managers)
・ Planning of a bank loan / non-life insurance product
・ Planning for launching new businesses and services (including negotiations with collaborating companies, if any)
・ Planning for operational efficiency and new product development using digital technology
・ Participation in and lead to projects related to the above
・ Finance model creation support for enterprise risk solution proposals

■Data Scientist (Natural disaster risk assessment model development / insurance risk analyst)
In this position, you will be in charge of R & D, data analysis and insurance risk analysis for models related to earthquakes and tsunami risks, as well as joint research projects with universities and research institutions. You will lead the practical development of knowledge.

・ Development of ground motion and tsunami hazard simulation models
・ Investigation / research / development of damage rate assessment calculation models for buildings and facilities due to earthquake motion and tsunami
・ Insurance risk quantification using a natural disaster model (probabilistic assessment of economic and insurance losses)
・ Insurance (earthquake, wind and water disaster) product development support, etc.

----------------------------------【Qualification requirements】 ----------------------------------

■Data Scientist [Finance]
・ Analysis experience using R, Python, SAS, etc.
・ Those who have experience in data extraction and data processing using SQL

[Welcome requirements]
・ Those interested in data analysis and model development in the insurance and financial fields

■Cyber risk Research and Development
・ Those who have risk assessment experience in the IT security field
・ Those who have knowledge of mathematical matters such as risk quantification, mathematical statistics, actuarial science, financial engineering
・ Those who have experience in data analysis and mathematical model construction at financial institutions, operating companies, research institutions, etc.

[Welcome requirements]
Those who have any of the following
・ Knowledge about cyber security and incidents
・ Actuary work experience (qualification acquired, subject passed)
・ Knowledge about non-life insurance business
・ Programming experience
・ English communication skills

■Data scientist (member)
・ Analysis experience using R, Python, SAS, etc.
・ Those who have experience in data extraction and data processing using SQL

[Personality]
・ Communication ability, understanding ability, problem solving ability, creativity
・Strong will to challenge new fields
・ High collaboration and flexibility

■Data scientist (Project Lead)
・ Those who have more than 3 years experience in data analysis
・ Analysis experience using R, Python, SAS, etc.
・ Those who have experience in data extraction and data processing using SQL
・ Those who have experience as project leaders in data analysis projects

[Those who have the following qualities]
・ Communication ability, understanding ability, problem solving ability, creativity
・ Strong will to challenge new fields
・ High collaboration and flexibility

■Data scientist (Development of insurance products using digital technology, IoT)
・ Those who have experience in product development and research and development work using digital technology at manufacturers, Sier, etc.
・ Those who have knowledge and experience about IoT (analysis, planning, solution proposal, etc.)

[Welcome conditions]
・ Those who have experience in promoting the use of IoT in factories and mechanical equipment (manufacturing equipment)
・ Interested in data analysis and business model development in the financial field
・ Those who want to challenge the financial industry from different industries
・ Those who have business communication skills in English and Japanese

■Data scientist (Implementation of New Technology Research, PoC and IoT Utilization)
・Experience in research and analysis of the latest technologies such as deep learning and machine learning
・ Those who study machine learning at universities or graduate schools and are highly motivated to apply to business

[Welcome conditions]
・ Persons who can research domestic and overseas AI technologies and application examples from papers and news
・ Those who have experience with projects in collaboration with research institutions and startups
・ Practical and research experience in fields such as data mining, opportunity learning, information engineering, mathematics and physics
・ Analysis experience using Python, R, SAS, etc.

■Data Scientist (Natural Language Processing)
・ Research and analysis experience using natural language processing technology and text mining
・ Experience studying natural language processing at a university or graduate school
(However, those who are willing to apply to business)

[Welcome requirements] Those who have any of the following
・ Persons who can research natural language processing technology and application examples overseas and overseas from papers and news
・ Those who have experience with projects in collaboration with research institutions and startups in fields such as data mining, machine learning, information engineering, mathematics, physics, etc.
・Practical / research experience
・ Analysis experience using Python, R, SAS, etc.

■Data Scientist (Pricing and Actuary)
・ Those who have knowledge of mathematical matters such as risk quantification, mathematical statistics, actuarial science, financial engineering
・ Financial institutions, operating companies, research institutions, etc. who have experience in data analysis and mathematical model construction

[Welcome requirements]
・ Actuary work experience (qualification acquired, subject passed)
・ Those who have knowledge about non-life insurance business
・ Those who have programming experience
・ Business communication skills in English and Japanese

■Data Scientist (Solution Planning)
・ Project-based business execution experience (team player)
・ Persons with experience in new product development or new business launch
・ Presentation materials creation and customer / internal presentation experience

[Welcome conditions]
・ Participation in collaborative projects with external companies
・ Those who have experience or interest in data analysis and business model development in the insurance and risk management fields
・ Communication in Business English and Japanese (read / write / conversation)
 
 ■Data Scientist (Natural disaster risk assessment model development / insurance risk analyst)
One of the following:
・ Practical experience and research experience in earthquake, tsunami, civil engineering / architectural model development, data analysis and numerical simulation

・ (Post-doctoral possible) Those who have completed a postgraduate degree in science and have experience in research on numerical models for earthquakes, typhoons, floods, or simulation models for response characteristics of structures to external forces

[Particularly welcome those who fall under the following! ]

・ Researchers from universities and research institutes, construction consulting firms, general contractor research institutes, and risk consulting firms

・ Those who have knowledge about non-life insurance (reinsurance)

・ Those who have programming experience

・ Work experience in Business English and Japanese

・ Those who have completed graduate school or higher and are interested in mathematical techniques such as quantification of natural disaster risk, mathematical statistics, insurance mathematics and financial engineering. (If possible postdoctoral)

・ Actuary work experience (qualification acquired, subject passed)
 

------------------------------------▼▼-----------------------
【Welfare】
■ There is a housing allowance (however, only for those who meet the payment requirements)
■ With retirement allowance
■ Social insurance Health insurance, welfare pension, employment insurance, industrial accident
■ Corporate defined contribution pension system available

[Working conditions]
(Estimated annual income)

4 million to 10 million yen

(Working hours)
From 9:00 to 17:00 (working 7h)


(holiday)

・ Two days off (Saturday / Sunday), Holidays, New Year holidays
・Annual paid leave (4-15 days in the first year, 23 days in the following year)
・ Special consecutive holidays (1-5 days in the first year, 5 days in the following year)
・ Designated leave (1 to 4 days in the first year, 4 days after the next year)
・ Condolences vacation
・ Refresh long-term vacation (10 to 5 years, 5 consecutive days)

以上信息为公开的招聘广告。该职位广告既不是录用通知也不是入职合同。

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