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Senior Manager, Risk Forecasting
2 months ago
About Figure Lending LLC
Figure is at the forefront of transforming financial services through its innovative, scalable, and rapidly evolving technology platform. By leveraging its loan origination activities and extensive partner network, Figure is set to introduce and expand new products that improve efficiency and transparency within the industry. The integration of advanced technology on Figure's platform enhances the transparency and efficiency of capital markets, supported by a growing pool of assets generated on its platform. This transformative journey is driven by a committed team at Figure, known for their drive, creativity, collaboration, and passion for building innovative solutions.
Role Overview
We are seeking a Senior Manager, Risk Forecasting to become an integral part of our expanding team. In this role, you will oversee the design, development, and implementation of comprehensive quantitative models and algorithms across the organization. You will spearhead the research and development of proprietary models that underpin the company’s lending strategies. This includes the development and maintenance of mortgage models across various product sectors (e.g., non-QM and home equity) and delivering thorough analytics (default, prepayment, severity, and transition models) to assess portfolio-level risk and returns.
Key Responsibilities
- Establish, implement, and manage a robust modeling framework from inception.
- This unique position balances modeling expertise with transformation management. The successful candidate will possess a profound understanding of forecasting and credit models, along with the ability to adapt to evolving business strategies or external events.
- Lead the collection and analysis of relevant data for forecasting and model tuning.
- Clarify the variations in forecast model outputs based on portfolio trends, planned business actions, and model components/assumptions.
- Comprehend how inputs and outputs are generated, and adjust inputs and outputs for scenario analysis or regression testing of the models.
- Oversee various monthly and quarterly reporting tasks, including slide and deck preparation, ensuring accuracy and adherence to deadlines.
Qualifications
- Advanced degree in Mathematics, Physics, Computer Science, Financial Engineering, or a related discipline.
- A minimum of 5+ years of experience in a quantitative role within a financial services organization.
- Proven experience in financial modeling or within the financial sector is essential.
- Strong programming proficiency in at least one language, such as Python, R, C++, or Java.
- Familiarity with big data manipulation and analysis tools (e.g., SQL, Spark, Hadoop) and experience in building and implementing models in a cloud-based environment (e.g., Azure, AWS).
- Experience with machine learning, data mining, econometric modeling, and general statistical modeling.
- Understanding of prepayment, default, and loss models.
Benefits and Perks
- Competitive salary and opportunities for professional growth.
- Quarterly performance-based bonuses.
- Equity stock options package.
- Comprehensive health, vision, and dental insurance funded by the employer, including wellness programs for employees and their dependents.
- Employer-funded life and disability insurance coverage.
- Access to HSA, FSA, Dependent Care, 401k, and commuter benefits.
- Up to 12 weeks of paid family leave.
- Flexible work location options, including in-office, remote, and hybrid arrangements.
- Home office and technology stipends for employees working remotely more than 75% of the time.
- Flexible time-off plan to empower employees to take the necessary time off.
- Continuing education reimbursement.
