Job Description
Job Advertisement: Senior Risk Business Intelligence Engineer
Overview
Are you ready to make a significant impact in the fintech industry? We are seeking a Senior Risk Business Intelligence Engineer to join our dynamic and innovative team in Tokyo, Japan. This is a unique opportunity to work with cutting-edge technology and play a pivotal role in shaping risk policies and driving business intelligence initiatives.
Responsibilities
As a Senior Risk Business Intelligence Engineer, you will:
- Data Modeling: Design and implement advanced data models to enhance analytics and reporting capabilities, focusing on unit economics, customer credit quality, fraud patterns, and overdue debt recovery processes.
- ETL Pipeline Development: Build and maintain efficient ETL pipelines to process and store data for business intelligence and machine learning applications.
- Enable Smarter Analytics: Collaborate with the risk team to develop and maintain key reports and dashboards using tools like Looker, enabling data exploration and insights.
- Cross-Functional Collaboration: Work closely with data scientists, engineers, and product managers to align data initiatives with business objectives and integrate new data assets seamlessly.
Qualifications
We are looking for a professional with:
- Experience: 5+ years in business intelligence, with a proven track record of delivering tangible business value.
- Collaboration Skills: A passion for working with stakeholders and data scientists to create innovative solutions.
- Technical Expertise:
- Proficiency in translating industry-specific metrics into well-documented, efficient code.
- Experience with Spark, Scala, PySpark acceptable with willingness to learn Scala) for batch ETL pipelines and processing large-scale data.
- Familiarity with job orchestration tools like Airflow or Prefect.
- Expertise in creating data marts and sources for data scientists, analysts, and business users.
- Proficiency in business intelligence tools such as Looker, Tableau, or PowerBI.
Nice to Have
- Experience in financial services, payment services, or fraud prevention.
- A strong interest in fintech and risk management.
Day-to-Day
- Collaborate with cross-functional teams to understand data needs and business objectives.
- Design and implement robust data models and ETL pipelines.
- Develop and maintain dashboards and reports to provide actionable insights.
- Work with cutting-edge technologies such as AWS Glue, SageMaker, Apache Spark, and more.
- Contribute to the continuous improvement of risk assessment models and policies.
Benefits
- Be part of a diverse team
- Exciting opportunities in a fast-growing fintech organization.
- Hybrid remote work model (minimum 2 days in the office per week).
- Competitive salary and benefits package.
- A collaborative and innovative work environment.
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