#163 【FinTech】Data Scientist

※This job posting is for applicants residing in Japan.

Company Overview

They provide Revenue-Based Financing (RBF), a financing method in which future projected revenue is purchased as receivables.
Using proprietary algorithms to forecast future sales, they operate a platform that enables fast and easy fundraising without equity dilution or collateral.
They have established Japan’s first RBF fund and completed approximately JPY 1.4 billion in total funding (Series A), and continue to grow rapidly.

Their team consists of members with diverse global backgrounds, and Over 40% of their members are foreign nationals.

You will have the opportunity to work in a multinational team (Asia, Europe, Central America, etc.).
They also offer a full-flex time system, hybrid work (generally 1–2 days in the office per week depending on the role), and full remote options depending on conditions.

Job Description

They are looking for a Data Scientist who can drive the advancement of risk scoring and revenue forecasting models in the RBF domain.

– Build, improve, and operate risk scoring and revenue forecasting models for RBF
– Analyze financial data (P/L, B/S, C/F, transaction data, etc.) and extract insights
– Develop models using tree-based methods (Decision Tree, Random Forest, Gradient Boosting / LightGBM, etc.) and logistic regression
– Manage experiments and model lifecycle using MLflow
– Conduct model experiments, evaluation, and improvements, and create reports from both technical and business perspectives
– Collaborate with engineers and analysts to deploy models into production and continuously monitor them
– Stay up to date with the latest knowledge in financial modeling, time series forecasting, and applied machine learning

Required Qualifications

– Practical experience in data science or machine learning (especially in finance, credit risk, or forecasting domains)
– Hands-on experience with Python, SQL, and machine learning libraries (scikit-learn, LightGBM, XGBoost, etc.)
– Knowledge of experiment management and MLOps using MLflow or similar tools
– Knowledge of model evaluation and risk assessment
– Ability to translate technical results into business language
– English: Business level (able to handle meetings and reports)
– Japanese: JLPT N2 or higher (sufficient for internal and external communication)

Preferred Qualifications

– Experience in building credit risk models, revenue forecasting models, or stock/macro market prediction models
– Understanding of statistical methods used in financial modeling
– Experience in data pipeline design, ETL, and cloud data platforms (Snowflake, BigQuery, AWS, etc.)
– Knowledge of financial accounting (ability to understand and analyze financial statements)

Compensation & Benefits

Salary: Negotiable depending on experience and skills (includes 45 hours of fixed overtime per month)
　　　　Stock options are granted upon joining the company (depending on the individual's performance).
Bonus: None
Salary Increase: Once per year
Probation Period: 6 months
Location: Tokyo, Remote Work (2 days remote, 3 days in office per week)
Social Insurance: Fully covered
Working Hours: Super flex (no core time; 8 working hours + 1 hour break between 5:00–22:00)
Holidays: Weekends, public holidays, and New Year holidays (Dec 30 – Jan 3)
Average overtime : 15 hours 
Smoking Policy: No smoking indoors

Selection Process

Selection process: 3 interviews + aptitude test + reference check
Aptitude test: This is a personality assessment. (Not SPI) It can also be taken in English.
Documents: Resume, CV
Interview Language: Japanese or English