VP, Risk Analytics & Quantitative Analysis

SitusAMC is where the best and most passionate people come to transform our client's businesses and their own careers. Whether you're a real estate veteran, a passionate technologist, or looking to get your start, join us as we work together to realize opportunities for everyone, we proudly serve. At SitusAMC, we are looking to match your unique experience with one of our amazing careers, so that we can help you realize your potential and career growth within the Real Estate Industry. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local - come join our team! This position will interface with clients and focus on a variety of challenging analytical model validation projects, particularly in current expected credit loss models, stress testing, risk measurement, valuation, BSA/AML and Fraud modeling. The ideal candidate will have experience modeling the cash flows and risks associated with one or more of the following balance sheet categories: consumer, residential mortgage, and commercial mortgage related loans and securities; consumer deposits; mortgage servicing rights. The role requires effective challenge of model's conceptual framework, variable selection, data integrity, process verification and testing and model documentation and governance. This role requires development and drafting quantitative reports of complex and sophisticated quantitative models used by financial institutions. This position also requires thought leadership initiatives including preparing white papers, presentations, and webinars. Essential Job Functions: Support the development, execution, and validation of quantitative models (econometric, statistical, machine learning, and financial models) as required by clients including but not limited to Credit, loan and security valuation, consumer deposit behavior, and risk advisory services. Complete ad hoc analysis to support existing client requests Ensure timely completion of project milestones and client deliverables requiring complex quantitative analysis, model testing and validation to support model accuracy and reliability are met using the highest standards for soundness of quantitative model theory Engage new clients, build, and maintain ongoing, long-term relationships with existing clients with regards to quantitative model validation. Develop and build quantitative models to act as benchmark or challenger models or for model replication Other activities as may be assigned by your manager Qualifications/ Requirements: Masters or PhD in Economics, Finance, Statistics, Financial Engineering, Financial Mathematics, Actuarial Science with advanced quantitative modeling experience required or equivalent combination of education and experience Relevant PhD degree can substitute for some or all the quantitative work experience Minimum of 8+ years of industry and/or relevant experience, typically with 2+ years in an AVP level role or external equivalent. 3-5 or more years experience working as a quantitative analyst or validator. Ability to code in R, Python, SAS, and SQL to conduct analytical data analysis Knowledge of Stress testing models related CCAR/DFAST and risk modeling. Fast Learner with willingness to learn ALLL and CECL accounting standards for CECL specific model development and validation preferred Strong written and verbal communication skills to effectively communicate complex and sophisticated quantitative models/materials to business executive both internally and externally Work both independently and in team environment on complex quantitative projects across organization and with external clients with limited supervision Strong Problem-solving skills related to quantitative modeling and data management in collaboration with database administrators and IT professionals Drafting and reviewing technical documentation as a part of model validation exercise with highest quality of work Continued contribution to team in thought leadership marketing of whitepapers, presentations, and webinars. #LI-AB1 #LI-Remote Note: This job description is not intended to be all inclusive or exclusive. At any time, employees may perform other related duties as required to meet the ongoing needs of the organization and participate in additional trainings. SitusAMC does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to SitusAMC in any manner will be considered SitusAMC property, and SitusAMC will not pay a fee for any placement resulting from the receipt of an unsolicited resume. The annual full time base salary range for this role is $95,000.00 - $150,000.00 Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, certain positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines, position eligibility and SitusAMC Senior Management approval. SitusAMC offers PTO and paid holidays, the terms of which are set forth in the program policies. All full time employees also are eligible to participate in various benefit plans, including medical, dental, vision, life, disability insurance and 401K; in each case in accordance with the terms of the applicable plans. Pay Transparency Nondiscrimination Provision ( SitusAMC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Know Your Rights, Workplace Discrimination is Illegal ( SitusAMC does not accept unsolicited resumes from staffing agencies, search firms or any third parties. Any unsolicited resume submitted to SitusAMC in any manner will be considered SitusAMC property, and SitusAMC will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

Created: 2024-11-05