Data Engineer (Data Business) | Featured Fintech Venture

【About the Company】

Aiming to realize a world in which people can "know the economy now", the company is a Fintech venture company initiated by the University of Tokyo that uses big data analysis to visualize the consumer price index and other economic statistics in real time, and to visualize corporate management strategies.

It was established in February 2015 as the predecessor of the "University of Tokyo Daily Price Index (now Nikkei CPINow)" project in Tsutomu Watanabe Laboratory, Graduate School of Economics, University of Tokyo. They are currently developing a real-time statistical database service "NowcaSTats" to support asset management and economic research operations of more than 250 domestic and foreign financial institutions, think tanks, governments, government-affiliated financial institutions, and overseas hedge funds.

Since August 2016, the company has been strategically expanding its global business through a management integration with Finatext, a Fintech venture company established in 2014 by the University of Tokyo. The company will develop new indicators and proprietary algorithms for Nikkei CPINOW and develop new business in the asset management field by leveraging Finetext's strengths in building services in the asset management field and its vast volume of data centered on individual investors.

【Job Description】 

【Responsibilities】
You will be responsible for a full range of tasks related to big data service operations, including data collection, analytical infrastructure construction, cleansing, enrichment, and customer provision.
Depending on other projects you are assigned to, you may also be involved in API development, building BI environments, reporting for customers, and more.

【Specifically】
・Design, construction, and operation of data infrastructure for analytical services for institutional investors
・API development and data mart development for web applications for investment analysis
・Development and operation of macro indexes using big data

【Ideal Applicants】
・Customer-oriented development
Always consider what the customer is looking for, and work backwards from there to determine development priorities.

・Take ownership of product growth
Able to see the growth of the product as their own business, and be enthusiastic about providing value to customers through the product.
Able to proactively contribute to the growth of the product, regardless of the scope of your responsibility.

・Able to get people involved and drive things forward
Able to involve others in the solution of a problem, rather than solving it alone.
Able to think first about the results of the team, rather than his/her own results.

・Intellectually curious and enjoys learning
Able to learn engineering domain as well as to input various knowledge necessary for the improvement of the product.
Able to apply the knowledge they have learned to their work without leaving it at that.

・Able to be muddled and detail-oriented.
Able to pay attention to the nooks and crannies of data for clean data and valuable analysis, and to work meticulously on details.

【Working conditions & treatment】

5 million yen to 9 million yen

10:00～19:00

・Saturday/Sunday/National Holiday
・Annual Paid Leave
・New Year Holidays
・Parental Leave
・Congratulations & Condolence Leave
・Summer Holiday

・Full social insurance
・Incentive (trust-type SO) system available
・Commuting allowance
・Visa support
・No smoking indoors

1) Life Support
・Marriage leave and congratulatory money: Special paid leave (7 days) and congratulatory money (50,000 yen) are provided for marriages.
・Parental leave and congratulatory money: Special paid leave (5 days) and congratulatory money (500,000 yen per baby!) for the birth of a child. (500,000 yen per baby!!!)) are provided for the birth of a child.
・Support for congratulatory and mourning occasions: Special paid leave (3 to 7 days) is provided for marriage, childbirth, and of course, in case of any misfortunes that may occur.
・Consecutive vacation days: In addition to paid leave, employees are allowed to take 5 consecutive days off.
・Allowance for dependents: Up to 100,000 yen per month per person depending on the number of children before elementary school age

2) Learning Support
・Weekly English conversation lessons are offered to all employees who wish to take them.
・Career development support: The company actively provides study support necessary for individual career development.
・Study support: Up to 10,000 yen per month can be used at company expense to participate in seminars and purchase technical and specialized books as desired.

【Required】
・Experience in Python development

[Data Infrastructure]
・Able to implement and operate workflows to achieve complex requirements using workflow management tools
・Able to design tables and operate DBs using OLAP concepts such as star schema and denormalization.
・Design tables and build infrastructure for RDBMS.
・Design, implement, and operate mechanisms necessary to maintain data quality, such as regression testing and data monitoring.

[Infrastructure]
・Able to build a production environment for data analysis infrastructure and update pipeline on a public cloud such as ・AWS, using IaC tools such as Terraform.
・Able to build a code production environment using Docker
・Experience developing on public clouds such as AWS and GCP

[Data Analytics]
・Able to define analytical requirements from customer needs and visualize appropriate data

【Preferred】
・Experience managing a team of 2 ~ 5+ people and delivering results as a team, not as an individual
・Engineering experience in the financial domain
・Daily conversational level of English
・Experience in server-side development of web applications

※Because the project will be carried out jointly by internal and external financial professionals, this position does not necessarily require knowledge of finance.