Portfolio Risk Manager

Kiavi, formerly known as LendingHome, is one of the largest lenders to real estate investors in the United States. With Kiavi’s technology platform and innovative financing solutions, real estate investors are empowered to make informed decisions, close deals faster, and realize the full potential of their real estate investment strategies.

Founded in 2013, Kiavi is committed to helping customers revitalize approximately $25 trillion worth of aged U.S. housing stock and provide move-in ready homes and rental housing for millions of Americans across the country.  We have funded $10.7billion dollars worth of loans across about 46,000+ projects, becoming one of the nation's largest bridge loan lenders. 

Combining our technology and industry expertise, Kiavi has grown to a team of over 500 and has won many awards over the years including Forbes Fintech 50, Finovate Awards: Best Digital Mortgage Platform, Fast Company’s Most Innovative Companies, and many more. 

• Loans Funded: $10.7+ billion in loans funded 
• Homes financed: 46,000+ projects funded for our customers across the country. 95% of projects have successful exits
• Geography: 29 states + D.C. where we lend to real estate investors so they can revitalize neighborhoods 
• Employees: Over 500 employees

This position can be based remotely in our any of our approved hiring regions. Our hybrid distributed workforce philosophy allows us to find the best talent in the country and build diverse teams, while allowing our colleagues to work from the location that works best for them. For those who prefer to work in-office, we have locations in San Francisco and Pittsburgh. We also plan to use these spaces to bring together teammates to drive creativity and innovation.

The Role

Kiavi is seeking a credit-risk manager for its loan portfolio. This person will be responsible for developing and evolving strategies for managing the credit risks that arise after a loan has closed. This person will also develop strategies that drive repeat business and optimize risk-adjusted lifetime customer value. The ideal candidate has managed the credit risk of a lending portfolio and is familiar with all the techniques required to maximize credit adjusted returns. This person will work cross-functionally with Product, Engineering, Capital Markets, Operations to launch strategies that increase Kiavi's profitability. This person would report to Kiavi’s VP of Credit Risk.

Responsibilities

• Team up with our data scientist, underwriting, data engineering teams closely to drive customer segmentations, develop innovative credit strategies, and perform portfolio analyses.
• Develop and maintain strategies to drive strong repeat business.
• Develop models for identifying key drivers of customer profitability and for developing strategies that maximize those drivers.
• Continually explore and iterate on existing strategies to advance our understanding of key market risk opportunities
• Drive improvements in business outcomes by testing new and different strategies through systematic planning and execution of experiments
• Develop analytical tools/strategies to increase the risk-adjusted efficiency of operational processes.
• Work cross-functionally to enhance productivity and increase per loan profitability.

Qualifications

• MS/PhD in quantitative fields such as Statistics, Operational Research, Industry Engineering, Economics etc.
• 4+ years working experience in an analytics related role. Lending or Fintech experience strongly preferred.
• Track record of working developing credit strategies using machine-learning tools.
• Strong programming skills in SQL and in R or Python.
• Track record of releasing credit products into a production environment.
• Experience in analyzing corporate financial statements.
• Team player with strong interpersonal skills.

Preferred Qualifications

• Risk Management Experience at a lending institution, consulting firm, or technology company.
• Experience with reject inference solutions to modeling credit outcome populations
• Experience with fraud detection models

• Forbes: The Future Of Real Estate: Fintech 50 2019
• Mortgage Professional America: LendingHome surpasses $5 billion in loans in five years
• San Francisco Business Times: S.F. fintech aggressively expands into lending for rental houses
• Curbed: How Wall Street, Silicon Valley Institutionalized Home Flipping
• Officelovin’: A Tour of LendingHome's New San Francisco Headquarters

• Product Ownership: All employees think like an owner because all employees own equity in the company and play a critical role in making our business great.
• Health Insurance: Our medical, dental, and vision plans are completely free for employee-only coverage, and the company pays 80% of the total premium for dependents.
• Whole-Person Wellness: Anyone can schedule no-cost unlimited virtual therapy sessions, use a monthly subsidy for fitness facilities, and access reimbursements for fertility services.
• Carrot: The leading global fertility benefits provider, built to support employees through their lifelong fertility healthcare journey.
• Retirement Savings. Employees who participate in our “no fee” 401(k) receive an immediately-vested employer match on 100% of contributions up to 3% of compensation. 
• Career Growth: We foster an environment that encourages opportunities to use your voice, do better for our customers and each other, and support your career journey.
• Flexible Time Off: With no cap on the number of days of PTO each year, employees are encouraged to enjoy a well-rounded lifestyle with work, travel, and family.
• Paid Leaves: You’re immediately eligible for up to 12 weeks of paid leave each year to bond with a new child (mothers & fathers) and up to 8 weeks for medical or caregiver leave so you come back ready to deliver high-impact results.
• Remote-First: We win together while still being fully remote, and each employee receives a stipend for their home office setup and a monthly allowance to help with the cost of internet/phone.

Kiavi is an Equal Opportunity Employer

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
San Francisco Fair Chance Ordinance Police Code, Article 49