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SeniorВ офисеПолная занятость

Senior Credit Manager

Оценка ИИ

SoFi — ведущий игрок в сфере финтеха с отличной репутацией и сильной корпоративной культурой. Позиция предлагает работу с передовыми технологиями и прямое влияние на финансовые продукты компании.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует высокого уровня ответственности и глубоких знаний в области кредитных рисков, включая моделирование на Python и SQL. Необходим опыт работы более 7 лет и понимание жизненного цикла кредитных стратегий.

Анализ зарплаты

Медиана175 000 $
Рынок145 000 $ – 210 000 $
Оценка ИИ

Указанная роль Senior Credit Manager в Сан-Франциско предполагает высокий уровень компенсации. Рыночные оценки для опытных специалистов в финтехе этого региона обычно начинаются от 150 000 USD в год без учета бонусов и опционов.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Credit Manager position at SoFi. With over 7 years of experience in consumer lending and a deep expertise in credit risk strategy, I have a proven track record of developing data-driven underwriting models that balance aggressive growth with prudent risk management. My background in Personal Loans and proficiency in SQL and Python align perfectly with your team's current focus on optimizing the lending ecosystem.

Throughout my career, I have specialized in the full analytical lifecycle—from decision tree development and P&L analysis to post-implementation monitoring. I am particularly drawn to SoFi’s commitment to innovation and its member-first approach. I am confident that my ability to synthesize complex data into actionable strategic insights will contribute significantly to SoFi’s mission of helping members reach their financial goals.

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Откликнитесь в sofi уже сейчас

Присоединяйтесь к SoFi, чтобы определять будущее цифрового банкинга и управлять рисками в одной из самых инновационных финтех-компаний мира.

Описание вакансии

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The team

SoFi’s Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company’s risk appetite and helps create the products and experiences that put our members’ interests first.

The Senior Credit Manager will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi’s lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card. The initial focus of the role will be on Personal Loan but the candidate may get opportunities to work on other lending products in the future.

The candidate will be responsible for independently developing and implementing Personal Loan underwriting strategies that meet our risk appetite, monitoring and analyzing the risk trends within the portfolio to provide insights and recommendations for strategy enhancement opportunities. She/he will be part of the Credit team with 1LOD responsibilities.

The Senior Credit Manager will collaborate with cross-functional teams such as Business Units, Operations, Marketing, Finance, Capital Markets, Product, Engineering, Legal and Compliance. Use business acumen, credit experience and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers.

The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical analysis tools to inform decisions and support SoFi’s overarching strategic goals relative to loss prevention and profit optimization. They bring new ways of thinking, data sources, technologies, and capabilities to SoFi.

What you’ll do:

  • Innovate… Bring your brightest ideas to build algorithmic risk strategies. This means you will architect credit underwriting, pre-screen targeting, and risk tier assignment.
  • Data Driven… Your deep analysis will power the future of lending with an optimal real-time data ecosystem – including multi-product internal, bureau, third-party, and alternative data sources and uses.
  • Iterate, learn, innovate… We are all responsible for innovation and must embrace a test-and-learn mentality and data-driven decision making.
  • Collaborate… Work collaboratively with business partners such as Business Units, Operations, Marketing, Finance, Legal and Compliance to deliver successful business results. Partner closely with implementation teams to accurately drive new strategies to production.
  • Control the Risk and Drive Performance Outcomes … Understand credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor the performance of strategies and portfolios. Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions.
  • Challenge the Status Quo … Challenge others, continuously raise the bar, build better processes and attack hard problems to help us build the best products in the industry.
  • Grow, Grow, Grow!… Be inspired by dynamic leaders and our rapidly growing business.  We want YOU to be an inspired leader of tomorrow, so we are recruiting the best, brightest, and passionately quantitative team members.

What you’ll need:

  • 7+ years of related experience
  • Business acumen and work experience in the consumer lending business (loans or credit cards)
  • Direct experience in the credit strategy analytical life cycle, including strategy and decision tree development, P&L, presentation, implementation validation, and post-implementation monitoring
  • Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems
  • Proficient data exploration and credit modeling skills in Excel, SQL and Python
  • A demonstrated ability to synthesize and communicate analysis to business partners and senior management
  • Results-driven, eager to learn, and able to work collaboratively in a fluid environment
  • Knowledge/skills in analytical and modeling techniques such as decision trees, regression, logistic regression, test design
  • Preferred: 7+ years of personal loan credit risk experience
  • Preferred: Experience in developing credit strategies using innovative data sources such as cash flow or alternative data
  • Preferred: Advanced degree (Master’s or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

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Навыки

  • SQL
  • Python
  • Excel
  • Credit Risk
  • Financial Modeling
  • Statistics
  • Regression Analysis
  • Decision Trees
  • Risk Management
  • Data Analysis

Возможные вопросы на собеседовании

Проверка технического опыта в разработке стратегий.

Опишите ваш опыт разработки стратегии андеррайтинга с нуля: какие данные вы использовали и как оценивали успех?

Оценка навыков работы с данными и инструментами.

Как вы используете Python и SQL для выявления аномалий в кредитном портфеле и оптимизации деревьев решений?

Проверка понимания бизнес-метрик.

Как вы балансируете между увеличением объема выдачи кредитов и поддержанием целевого уровня дефолтов (loss appetite)?

Оценка опыта работы с альтернативными данными.

Был ли у вас опыт внедрения альтернативных источников данных, таких как анализ денежных потоков (cash flow data), в кредитные модели?

Проверка навыков взаимодействия с кросс-функциональными командами.

Расскажите о случае, когда вам пришлось убеждать руководство или отдел комплаенса в необходимости изменения кредитной политики.

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