Ranked #385 safest from AI among all Japanese occupations
Very lowLowModerateHighVery high
How AI is changing this job
A written analysis for this occupation is being prepared.
AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using the MHLW job tag survey on work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →
Skills, education and requirements for 銀行支店長
Key skills
Active Listening
5.2
Time Management
5.1
Negotiation
5.0
Management of Personnel Resources
4.9
Coordination
4.9
Instructing
4.9
Persuasion
4.8
Speaking
4.8
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Administration and Management
3.4
Customer and Personal Service
3.4
Personnel and Human Resources
3.1
Sales and Marketing
3.0
Economics and Accounting
3.0
Administrative
2.8
Law and Government
2.5
Communications and Media
2.2
What the work involves
Developing Objectives and StrategiesCommunicating with Supervisors, Peers, or SubordinatesMaking Decisions and Solving ProblemsGuiding, Directing, and Motivating SubordinatesCommunicating with People Outside the OrganizationPerforming Administrative ActivitiesStaffing Organizational UnitsEstablishing and Maintaining Interpersonal Relationships
Important abilities
Problem SensitivityOral ComprehensionOral ExpressionFluency of IdeasSelective AttentionWritten Expression
Licenses and certifications (Japan)
ファイナンシャルプランナー（ＣＦＰ／ＡＦＰ）
簿記能力検定（全経上級）
簿記能力検定（全経１級）
簿記能力検定（全経２級）
簿記能力検定（全経３級）
生命保険業界共通教育制度一般課程試験
日商簿記１級
日商簿記２級
日商簿記３級
Related qualifications listed on job tag (names in Japanese). Some are mandatory, others recommended.
Education of workers
Training before entry
Related work experience
Difficulty of entry: ★★★★★ Hard to enter (from education, training, experience, licenses)
Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: Basic Survey on Wage Structure (2025), Population Census and Hello Work employment statistics as published on the MHLW job tag site (retrieved Nov 1, 2026); Occupational Information Database (JILPT). Pay ranges, projections and scores are Shigoto Zukan estimates.