The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
Responsibilities:
Qualifications:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Responsibilities:
- Lead the development and deployment of AIML models to ensure compliance with Consent Orders and Article V regulations.
- Collaborate with compliance officers, legal teams, and other stakeholders to translate regulatory requirements into technical specifications.
- Oversee data collection, processing, and analysis to support regulatory reporting and risk management.
- Ensure the ethical use of AIML technologies and adherence to data privacy laws.
- Mentor and manage a team of AIML engineers and data scientists.
- Stay updated on industry trends, regulatory changes, and technological advancements.
The role demands not only technical acumen but also a strategic vision to navigate the complex landscape of regulatory compliance. Effective collaboration with various departments underscores the significance of cross-functional teamwork in achieving organizational compliance goals.
Requirements:
- Advanced degree in Computer Science, Data Science, Machine Learning, or a related field.
- Proven experience in a senior AIML or data science role, preferably within the financial sector.
- In-depth knowledge of regulatory compliance, particularly Consent Orders and Article V.
- Strong leadership skills and experience in managing cross-functional teams.
- Excellent problem-solving abilities and analytical skills.
- Strong communication skills, both written and verbal.
The ideal candidate should possess a blend of technical expertise and regulatory know-how. Such qualifications are imperative to ensure that AIML implementations are effective, compliant, and forward-thinking. Experience in the financial sector is particularly valuable, given the complexity and specificity of industry regulations.
Additional Skills and Qualifications:
- Experience with AIML tools and frameworks such as TensorFlow, PyTorch, Scikit-Learn, etc.
- Familiarity with data management and governance practices.
- Knowledge of risk management and regulatory reporting requirements.
- Proven track record of driving technological innovation in compliance and risk management.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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