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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 role

We are seeking a Pricing Analyst, Home Lending to join our Pricing team within the Home Lending Business Unit. This is an exciting role for someone to make a direct impact on the revenue of So Fi by helping shape the Mortgage business strategy and product development through data-driven insights and pricing recommendation. As a Pricing Analyst on our Pricing team, you will be working closely with a world-class team of business leaders and data scientists to help So Fi develop, implement, and analyze Mortgage pricing strategies. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Tableau, surface insights, and measure the business impact using conversion/ profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together. The ideal candidate will possess a strong understanding of the residential mortgage industry, with a focus on pricing strategies, competitive analysis, and a proven track record of utilizing pricing engines like Optimal Blue.

What you’ll do:

• Develop, implement, and test pricing strategies that optimize profitability through the improvement of revenue, conversion, and cost per customer acquisition
• Collaborate with the Business Unit Leaders in Home Lending to manage pricing margins, provide insights into the competitive landscape and ensure pricing is in line with targets and profitability expectations
• Administer, configure, and optimize our Product & Pricing Engine (PPE), with a strong preference for Optimal Blue experience
• Ensure accuracy and integrity of pricing data within the PPE
• Develop analytical tools to control and validate the accuracy of mortgage pricing configuration and calculations
• Build dashboards to deliver results of pricing strategies to the business and reporting that assist in pipeline management
• Build intuitive and analytical models to help decision makers understand the price elasticity of customer segments
• Routinely present analyses to So Fi business leaders
• Maintain policies and procedures owned by the HL Pricing Team
• Support day-to-day operations including daily rate sheets and exception processing
• Represent Pricing in front of internal stakeholders (lock desk, credit risk, capital markets, marketing, finance) and external vendors

What you’ll need:

• B.S. or M.S.. in Computer Science, Statistics, Finance, Economics, Engineering, Mathematics or a related quantitative field is required for this position
• 5+ years of experience working in the Home loans industry in an analytics, business strategy, pricing, margin management, or related role
• 3+ years of experience administering a pricing engine (preferably Optimal Blue)
• Proven track record of end-to-end experience in building analytical frameworks to inform business strategy
• Solid knowledge and understanding of mortgage loans, programs, and pricing processes and procedures
• Knowledge and understanding of statistical and econometric modeling methods for significance testing and causal inference
• Basic programming skills in SQL, VBA, and Macro.
• Basic knowledge of Tableau and experience building production-level dashboards
• Ability to work in a dynamic, cross-functional environment, with strong attention to detail
• Effective communication skills and ability to explain complex models in simple terms;
• Strong relationship building and collaborative skills
• Exceptional problem-solving skills

Nice to have:

• Familiarity with Loan Origination Systems (preferably Encompass)
• Python coding experience

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](https: //sofietyinfo.sofi.com/sofi-benefits) page!

So Fi 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

So Fi is committed to an inclusive culture. As part of this commitment, So Fi 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.