Job Overview

The Risk Analyst III - AI/Machine Learning Model Validation role at Get It Recruit - Finance primarily revolves around the rigorous evaluation and validation of AI and machine learning models as part of the company's risk management framework. The successful candidate will utilize advanced analytical skills to assess model performance, identify potential risks, and ensure compliance with regulatory standards. This role will also involve collaboration across various teams to enhance model integrity and support strategic decision-making processes within the organization.

Job Responsibilities

• Conduct thorough validation and back-testing of AI and machine learning models for accuracy and reliability.
• Identify and evaluate potential risks associated with model implementations and outcomes.
• Prepare comprehensive reports outlining model validation results and recommendations for improvements.
• Collaborate with cross-functional teams to understand model specifications and business applications.
• Ensure compliance with internal guidelines and regulatory requirements regarding model risk management.
• Provide insights on emerging trends in model validation and risk assessment within the machine learning domain.

Qualifications

• Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, or a related field; Master's degree preferred.
• A minimum of 5 years of experience in risk analysis, with a focus on model validation in AI/machine learning.
• Strong proficiency in statistical analysis and modeling techniques.
• Experience using programming languages such as Python, R, or SQL for data manipulation and analysis.
• In-depth knowledge of regulatory frameworks concerning model governance and validation.
• Excellent verbal and written communication skills for reporting findings to stakeholders.

Benefits

• Competitive salary package with performance-based bonuses.
• Comprehensive health and dental insurance plans.
• 401(k) plan with company matching contributions.
• Flexible working hours and remote work options.
• Professional development and training opportunities.
• Generous vacation and paid time off policies.

Technologies & Tools

The Risk Analyst III position utilizes a variety of technologies and tools that are integral to the validation and analysis of models. Key tools include statistical software such as R and Python for data analysis, SQL databases for data retrieval and manipulation, as well as machine learning frameworks like TensorFlow and Scikit-Learn. Familiarity with data visualization tools, such as Tableau or Power BI, is also advantageous for effectively communicating insights derived from model evaluations.

Ideal Candidates

Ideal candidates for the Risk Analyst III position possess a strong analytical mindset and an unwavering attention to detail. They are proactive problem-solvers, capable of identifying risks and proposing solutions effectively. Excellent communication skills are essential, as collaboration with various departments is a core function of the role. Additionally, candidates should exhibit a continuous desire to remain updated on industry trends and advancements in machine learning and regulatory requirements.