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2024.5.24 [Fri.]

Akihabara UDX 2F AKIBA_SQUARE

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Updated 2024-04-26
Activated 2024-04-26

Lead Data Engineer (Data Business) / Remote Work Available / Featured Fintech Venture Company

Recruiter
Staff Level
Remote Work
New Year's Holidays
Five Days Workweek
Startup Company
Working Parents Welcome

This posting is managed by:	G Talent/Bizmates, Inc.
Company Name	Company is not publicly visible
Job Type	IT (Mainframe) - Database SE IT (Other) - Data Analyst/Data Scientist IT (PC, Web, Unix) - Tech Lead/Lead Engineer
Industry	Internet Services/ISP (Internet Service Provider)
Location	Asia Japan Tokyo Chiyoda
Job Description	【Recruitment Background】 The company, a startup company from the University of Tokyo, is a member of the Finetext Group and provides analytical services using alternative data (big data that has not been utilized to date). We process and analyze alternative data collected from domestic data holders (companies that partner with the company and provide data to it) and deploy it as a SaaS product. Although the company still has less than 30 employees, it provides insights gained from various alternative data such as POS data, credit card data, point card data, and location data to a wide range of clients, from overseas institutional investors to domestic government agencies and business corporations. In this position, you will be responsible for a full range of tasks related to alternative data service operations, including data collection, analytical infrastructure construction, cleansing, enrichment, and customer provision. Depending on the project you will be assigned to, you may be involved in API development, building BI environments, reporting for clients, and more. 【Responsibilities】・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 alternative data 【Attraction of this position】・You can deeply feel the impact on the world by being exposed to various types of alternative data and being involved in the utilization of such data. ・You can be involved in product launches as well as development. ・There are still only about 30 people in the organization, so each person has a lot of discretion. ・There are several foreign nationals on the staff, and the entire MTG is conducted in English, making it a global environment for those who want to make the most of their English skills. 【Members】・Mr. Katayama (Product Manager / Data Engineer) He joined Nomura Research Institute, Ltd. as a new graduate, where he was in charge of enhancing the contract management system for condominium brokerage and building a model to optimize the flow of sending customers. 2017, he joined the company. As an ML engineer, he built sales forecasting models for listed companies and investment issue forecasting models for institutional investors. Later, to launch an investment analysis service using alternative data, he has been in charge of a wide range of tasks from defining service requirements to building data pipelines. Tech Blog：https://techblog.finatext.com/nowcast-data-engineering-introduction-a7f643d1276c ・Mr. Sumida (Data Engineer) He began his internship at the company in 2018 with the belief that high-quality, high-frequency data is necessary to understand economic phenomena. While performing engineering work, he became more interested in information science, and in 2019 he will use the company's study support to enter the Department of Computer Science at the University of Tokyo's Graduate School of Information Science and Technology, where he will conduct research in computational linguistics/natural language processing. He joined the company in April 2021. Interview Article: https://note.com/finatext/n/n6b2319af1915?magazine_key=m11adca1f2d6f ・Mr. Shima (Data Engineer) He joined QUICK Corporation as a new graduate. As a backend engineer, he was mainly involved in projects such as automation of various operations that had been done manually in-house using various managed services of AWS, and building predictive models by utilizing financial data and machine learning technology. He joined the company in 2021 as a data engineer and is currently involved in building and enhancing new data pipelines, streamlining operational work on internal data, and creating EDA environments. Interview Article: https://note.com/finatext/n/n8df3a323fb21 【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.
Company Info	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.
Working Hours	10:00～19:00
Job Requirements	【Required】 [Team Lead / Management] ・Experience leading a team of data engineers of around 4 ~8 people ・Able to face not only technical issues but also business and organizational issues ・Able to work well with members of your own team as well as those outside of your team [Data Analysis] ・Able to retrieve necessary data from RDB or data warehouse using SQL ・Experienced in building efficient data analysis frameworks using programming languages such as Python, etc. ・Able to define analytical requirements from customer needs and visualize appropriate data [Data Management] ・Able to design relational models that take into account normalization, etc., according to data analysis requirements ・Able to prepare raw big data for analysis through name identification, anonymization, mastering, cleansing, etc. ・Able to design and build ETL pipelines for big data. ・Able to implement and operate workflows with complex dependencies using workflow management tools. ・Able to design, implement, and operate mechanisms necessary to maintain data quality, such as regression testing and data monitoring. [Infrastructure Management] ・Able to build and manage public cloud resources such as AWS using IaC tools such as Terraform ・Experience with managed data warehouses such as Amazon Redshift or Google BigQuery ・Experience deploying and operating code for data analysis and ETL pipelines using containers 【Preferred Skills】・Experience in engineering in the financial domain ・English: Daily conversational level ※Financial knowledge is not necessarily required for this position.
English Level	Business Conversation Level (TOEIC 735-860)
Japanese Level	Business Level(JLPT Level 2 or N2)
Chinese Level	None
Salary	JPY - Japanese Yen JPY 8000K - JPY 12000K
Other Salary Description	・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.
Holidays	Saturday/Sunday/National Holiday Annual Paid Leave New Year Holiday Parental Leave Congratulations & Condolence Leave Summer Holiday
Job Contract Period	FULLTIME

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