Offer summary

Qualifications:

5-8 years of experience in model risk management or related fields., Strong proficiency in developing and validating scorecards and financial models., In-depth knowledge of regulatory requirements and industry best practices., A Master's degree in Finance, Statistics, Mathematics, or a related field is preferred..

Key responsabilities:

Lead the development and validation of scorecards and financial models.

Perform model risk assessments and ensure comprehensive model documentation.

Collaborate with cross-functional teams to identify model-related risks.

Engage with stakeholders to communicate model performance metrics and findings.

Job description

Tiger Analytics is an advanced analytics consulting firm serving Fortune 100 companies, transforming data into actionable insights. Our team excels in leveraging data science, machine learning, and AI to provide value-driven solutions across various industries.

We are currently seeking a Sr. Consultant / Manager specializing in Model Risk Management, particularly in Scorecard and Financial Models. The ideal candidate will play a pivotal role in ensuring compliance and effectiveness of our modeling practices while collaborating with teams to enhance model governance.

Key Responsibilities:

Lead the development and validation of scorecards and financial models adhering to industry standards and regulations.
Perform model risk assessments and ensure comprehensive model documentation and validation procedures.
Collaborate with cross-functional teams to identify model-related risks and implement effective mitigation strategies.
Engage with stakeholders to communicate model performance metrics and findings clearly and effectively.
Monitor model performance post-implementation and recommend improvements based on performance analytics.
Provide ongoing training and mentorship to junior analysts in modeling techniques and risk management principles.
Stay updated on emerging trends and regulatory requirements in model risk management.

Requirements

5-8 years of experience in model risk management, risk analytics, or related fields.
Strong proficiency in developing and validating scorecards and financial models.
In-depth knowledge of regulatory requirements and industry best practices for model risk management.
Experience with statistical modeling tools such as SAS, R, Python, or similar.
Strong analytical skills and the ability to interpret complex data sets.
Excellent communication skills to convey technical information to non-technical stakeholders.
A Master's degree in Finance, Statistics, Mathematics, or a related field is preferred.
Ability to work independently and collaboratively in a fast-paced environment.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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