Tiger Analytics Logo

Tiger Analytics

Sr. Consultant/Manager - Credit Risk Modeling

Job Posted 21 Hours Ago Posted 21 Hours Ago
Be an Early Applicant
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
This role involves developing and validating predictive credit risk models, performing data analysis, collaborating with stakeholders, and presenting findings to leadership.
The summary above was generated by AI

Description

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager - Credit Risk (Loss Forecasting) to join our team and contribute to transformative projects.

The ideal candidate will leverage their strong understanding of loss forecasting techniques within the credit risk domain, to develop and validate predictive models and frameworks for strategic decision-making.

Responsibilities-

1. Loss Forecasting Model Development: Design, develop, and validate models for loss forecasting that align with regulatory requirements and internal business needs.

2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.

3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.

4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Requirements
  1. Minimum of 5 years of experience in credit risk management, focusing on loss forecasting in the financial services industry.
  2. Strong understanding of loss modeling techniques, including vintage analysis, PD, LGD, roll rate models, and macroeconomic drivers.
  3. Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.
  4. Experience with model validation and regulatory compliance related to credit risk forecasting.
  5. Exceptional analytical and problem-solving skills, with a strong attention to detail.
  6. Excellent communication skills, with the ability to articulate complex concepts to non-technical stakeholders.
  7. Hands on Experience in Data science aspects of Forecasting Models like feature engineering, model selection and model application
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.

Top Skills

Excel
Python
R
SQL

Similar Jobs

3 Hours Ago
Remote
Hybrid
Toronto, ON, CAN
Internship
Internship
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Data Science Intern, you'll utilize engineering, analytics, and machine learning to support product teams in data-driven decision-making and automate product experiences.
Top Skills: AirflowAWSBigQueryGoogle Cloud PlatformLookerMachine LearningPythonRSnowflakeSQLStatistical Modeling
2 Days Ago
Remote
Hybrid
8 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
As a Staff Machine Learning Engineer, you will build and deploy ML models for personalization features in Cash App, collaborating with product and marketing teams to enhance user experience and drive growth.
Top Skills: AWSGCPKerasMySQLNumpyPandasPythonSklearnSnowflakeTableauTensorFlowXgboost
2 Days Ago
Remote
Hybrid
8 Locations
161K-284K Annually
Mid level
161K-284K Annually
Mid level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
As a Senior Machine Learning Engineer, you will develop and deploy machine learning models to enhance personalization experiences for Cash App users, collaborating with product and marketing teams.
Top Skills: AWSGCPKerasMySQLPythonSnowflakeTableauTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account