Senior Data Scientist (Home Lending) Wealthfront
Automated investment management for individuals.
Permanent
San Francisco, Seattle, New York, Austin, Palo Alto
Remote: Not specified
185K to 211K $ a year
> 5 years
You'll be part of
San Francisco, Seattle, New York, Austin, Palo Alto
437 employees
Software
Finance
Our take
Wealthfront's platform takes the hassle and stress out of investing, financial planning, borrowing, and saving with automated services and financial advice. Its robo-advisor allows customers to set a financial limit on their accounts, anything above the limit is moved into an investment account or another account chosen by the customer. Indeed, it has some similarities to round-up apps like Acorn, which round up purchases and put the spare change into savings. There are other companies working on robo-advisors too, such as Morgan Stanley and Betterment. Nonetheless, with an impressive and steadily increasing list of clients, and more than $50B of assets under its management, Wealthfront achieved Unicorn status in September 2022. Now it is diversifying its offerings, branching into high-interest checking accounts and investment advice and reportedly seeking a valuation of up to $2.05B in its upcoming IPO, a move that puts the company in a strong position for even more growth.
You'll be working on
- The Data Scientist in this role will be primarily embedded within Wealthfront’s new and quickly-growing Home Lending area. The vision of this area is to enable our clients to grow their wealth through leveraged home ownership
- Build predictive models for potential purchasers or refinancers in our client base to enable efficient and targeted outreach
- Analyze user behavior in web-based home lending tools and flows to identify patterns and optimize these experiences
- Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations
Benefits
- Lunch and snacks on the house: Enjoy lunches, snacks, coffee and stipends to go out to lunch with coworkers.
- More tools in your toolbox: Join one of our affinity groups, attend leadership trainings and receive 1:1 mentorship. We give team members a quarterly learning stipend so we can all continue to grow and improve.
- Commuting made easy: We’re a short walk from the Palo Alto Caltrain and all employees receive a Caltrain pass. Our co-working space in San Francisco is great for days when you need to work from the city. An additional transportation stipend and relocation bonuses make getting to the office a breeze.
- Prioritize Wellness: Stay happy and healthy however you choose with our monthly wellness reimbursement. You define what wellness means for you — a massage, running sneakers, or dance classes? It’s your call.
- Work/life balance (no, really): We have flexible working hours, a discretionary time off policy and offer 16 weeks of paid parental leave (both parents). We work hard, but we rejuvenate too.
- Your health matters: We provide comprehensive medical, dental and vision coverage for you and your family, including HSA contributions for high deductible plans.
We're looking for
Communication skills
Mentoring
Collaboration and teamwork
Mechanical skills
Affinity
+3
- Demonstrate a high degree of independence, proactivity, and curiosity - be the first to identify opportunities
- Formulate project plans with clear rationale, candidate approaches and milestones
- Depending on experience and interest, management of more junior Data Science team members
- Identify key initiatives for the Home Lending area and champion the role of Data Science within these initiatives
- Communicate clearly and effectively with partners both within and outside the home lending area, through written documents, presentations, and in-person or video meetings
- Employ a high degree of mathematical rigor and best practices for software development
- Enhance overall Data Science team execution through hands-on help, design feedback and peer review
- Proficiency in Python and SQL
- Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills
- Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements. Sometimes this includes re-framing the original request to solve a more general problem with similar effort
- Hands-on mathematical and software engineering skills to execute on complex projects
- A Master’s or a PhD degree in a quantitative field such as Statistics, Operations Research, Computer Science, Economics or Natural Sciences, with 6+ years of prior experience in a Data Science role. Exceptions to these requirements may be considered on a case-by-case basis