Total 6 job vacancies by Bighire Agency

Functional area: Business Enablement

Summary: The Finance SME is responsible for overseeing staffing, finance, logistics, and budget coordination to ensure smooth operations and support the advancement of AI and ML initiatives within the

bank.

Responsibilities:

• Manage the staffing process including recruitment and onboarding.
• Oversee financial activities such as budget planning, monitoring expenditures, and financial reporting.
• Coordinate logistics for events, workshops, and training sessions conducted by the center.
• Develop and implement administrative policies and procedures to optimize operational efficiency.
• Collaborate with internal stakeholders to identify and address staffing and resource needs.
• Serve as a liaison between the center and other departments within the bank for administrative matters.
• Provide support for special projects and initiatives as required by the center leadership.

Requirements:

• Bachelor’s degree in Human Resources, Finance, Business Administration, or related field.
• Proven experience in HR and/or finance roles, preferably within a technology or banking environment.
• Strong understanding of HR and finance principles and practices.
• Familiarity with AI and ML concepts and their applications in banking is desirable.
• HR management software (eg Oracle HCM Cloud, Workday, SAP SuccessFactors, etc..)
• Financial management software – (eg. Ms Dynamics 365 Finance, Xero, QuickBooks, etc…)
• Microsoft Office Suite – PowerPoint, Excel, Word, Outlook
• Communication tools; e.g. Zoom, Ms Teams

Perks & Benefits

• Employee equity
• Central location
• Free snacks / Happy hours
• Medical insurance
• Personal leave
• Open culture
• Remote work flexibility

Summary:

• Functional area: Responsible AI
• The AI Governance Office is responsible for establishing and

maintaining robust governance frameworks, policies, and procedures

to guide the development, deployment, and monitoring of AI

initiatives.

Responsibilities:

• Design Framework for Responsible Practice: Lead the development of a framework for responsible AI practice within the organization, encompassing principles, guidelines and best practices for ethical, transparent and accountable AI solutions development and deployment
• Project Oversight and Quality Assurance: Provide oversight and quality assurance on AI solutions and products throughout the development lifecycle, ensuring adherence to responsible AI principles and compliance with regulatory requirements, industry standards, and organizational policies
• Mitigation Planning for Potential AI Incidents: Identify and assess potential risks and biases associated with AI solutions and develop mitigation plans to address them, including fairness-aware model training, bias detection and transparency measures.
• Ethical AI Education and Training: Educate and train AI ML COE members and stakeholders on ethical AI principles, responsible AI practices and the potential impacts of AI technologies on society.
• Stakeholder Engagement and Collaboration: Engage with internal and external stakeholders, including data scientists, engineers, legal experts, and regulators to collaborate on responsible AI initiatives and industry-wide efforts.

Requirements:

• Bachelor’s degree in computer science, ethics, law or related field.
• Strong understanding of ethical principles, regulatory requirements and societal implications of AI technologies, with knowledge of emerging standards and best practices in responsible AI.
• Familiarity with regulatory requirements and ethical guidelines related to AI and machine learning.
• Proven experience in a relevant role within the banking or financial services sector, such as compliance, risk management, or data governance.
• Proficiency in risk assessment methodologies and experience in identifying and mitigating risks associated with AI and machine learning applications in financial services.

Tools:

• Proficiency in AI governance tools such as IBM OpenPages, SAS
• Governance and Compliance Manager, or similar platforms.
• Familiarity with data management and governance tools such as Collibra or Informatica.

Perks & Benefits

• Employee equity
• Central location
• Regular team activities
• Medical insurance
• Personal leave
• Open culture
• Paid training and development

職能領域：業務支持

摘要：金融中小企業負責監督人員配置、財務、物流和預算協調，以確保平穩運作並支援人工智慧和機器學習計畫在人工智慧和機器學習領域內的發展。

銀行。

職責：

• 管理人員配置流程，包括招募和入職。
• 監督預算規劃、監控支出和財務報告等財務活動。
• 協調中心舉辦的活動、研討會和訓練課程的後勤工作。
• 制定並實施行政政策和程序以優化營運效率。
• 與內部利害關係人合作，確定並解決人員和資源需求。
• 充當中心與銀行內其他部門之間行政事務的聯絡人。
• 根據中心領導的要求，為特殊項目和措施提供支援。

要求：

• 人力資源、財務、工商管理或相關領域的學士學位。
• 在人力資源和/或財務職位方面擁有豐富的經驗，最好是在技術或銀行環境中。
• 對人力資源和財務原則和實踐有深入的了解。
• 熟悉人工智慧和機器學習概念及其在銀行業的應用是理想的。
• 人力資源管理軟體（例如 Oracle HCM Cloud、Workday、SAP SuccessFactors 等）
• 財務管理軟體 –（例如 Ms Dynamics 365 Finance、Xero、QuickBooks 等...）
• Microsoft Office 套件 – PowerPoint、Excel、Word、Outlook
• 通訊工具；例如 Zoom、Teams 女士

津貼和福利

• 員工股權
• 中心位置
• 免費小吃/歡樂時光
• 醫療保險
• 事假
• 開放文化
• 遠距工作彈性

概括：

• 職能領域：負責任的人工智慧
• 人工智慧治理辦公室負責建立和

維持穩健的治理架構、政策和程序

指導人工智慧的開發、部署和監控

倡議。

職責：

• 負責任實踐的設計架構：領導組織內負責任人工智慧實踐框架的開發，包括道德、透明和負責任的人工智慧解決方案開發和部署的原則、指南和最佳實踐
• 專案監督和品質保證：在整個開發生命週期中對人工智慧解決方案和產品進行監督和品質保證，確保遵守負責任的人工智慧原則並符合監管要求、行業標準和組織政策
• 潛在人工智慧事件的緩解計畫：識別和評估與人工智慧解決方案相關的潛在風險和偏見，並制定緩解計畫來解決這些問題，包括公平意識模型培訓、偏見檢測和透明度措施。
• 道德人工智慧教育和培訓：對 AI ML COE 成員和利益相關者進行道德人工智慧原則、負責任的人工智慧實踐以及人工智慧技術對社會的潛在影響的教育和培訓。
• 利害關係人參與和協作：與內部和外部利害關係人（包括資料科學家、工程師、法律專家和監管機構）合作，就負責任的人工智慧計畫和全行業的努力進行合作。

要求：

• 計算機科學、倫理學、法律或相關領域的學士學位。
• 對人工智慧技術的道德原則、監管要求和社會影響有深入的了解，了解負責任的人工智慧的新興標準和最佳實踐。
• 熟悉與人工智慧和機器學習相關的監管要求和道德準則。
• 在銀行或金融服務領域的相關職位（例如合規性、風險管理或資料治理）擁有豐富的經驗。
• 熟練風險評估方法，並具有識別和減輕與金融服務中人工智慧和機器學習應用相關的風險的經驗。

工具：

• 熟練IBM OpenPages、SAS等AI治理工具
• 治理和合規管理器或類似平台。
• 熟悉資料管理和治理工具，例如 Collibra 或 Informatica。

津貼和福利

• 員工股權
• 中心位置
• 定期團隊活動
• 醫療保險
• 事假
• 開放文化
• 有薪培訓和發展