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:

SoFi’s Director of Engineering & AI (2LOD) is a leadership position within SoFi’s growing second line of defense organization. This strategic role will be instrumental in implementing SoFi’s member trust-oriented strategy by building a best-in-class risk management team.

This role will work closely with the VP, Head of Risk Analytics, and plays a pivotal role in driving data, reporting, and infrastructure solutions supporting the 2LOD function and enabling automation and innovation through cutting-edge engineering and AI techniques. This is a crucial role for the second line of defense as we execute our mission to help more members get their money right.

What you’ll do:

Build out the new Engineering and AI team within the 2LOD Risk Analytics function, including developing the Engineering and AI strategy for the second line of defense, aligning key deliverables, and resourcing the new team.
Work closely with risk oversight leaders in the 2LOD group to define, track, and report economic metrics and key performance indicators (KPIs) across risk stripes (e.g., credit risk, operational risk, fraud risk, treasury risk, and technology risk).
Drive automated reporting mechanisms and data visualization tools to uncover patterns, trends, and correlations in data.
Direct the detailed analysis, coding, testing, implementation, and maintenance of reports and dashboards. Provide regular presentations and updates to the 2LOD leadership team.
Collaborate with cross-functional teams in risk and IT to drive data, infrastructure, and system solutions that meet risk oversight needs from pilot projects to scalable solutions, while maintaining a focus on quality and innovation.
Lead the design, delivery, and scaling of innovative AI solutions (e.g., Generative AI, NLP, LLM) and AI-powered reporting and analytic applications across the 2LOD business.
Identify areas for process enhancements and automation to streamline workflows and increase productivity within the 2LOD function.
Stay abreast of emerging trends, tools, and technologies in engineering and AI that can enhance data analysis capabilities and improve operational efficiencies.

What you’ll need:

10+ years of progressive experience building, architecting, and implementing data, reporting, and engineering solutions within U.S. global systemically important financial institutions’ risk organizations, including 5+ years in senior leadership.
Bachelor’s degree in Computer Science, Engineering, or a quantitative field required. Master’s or Ph.D. degree preferred.
Possess profound knowledge of data and reporting capabilities and technologies, including account-level and attribute-level data and dictionaries, data extraction, business intelligence, and visualization tools (e.g., Tableau).
Extensive experience in driving datasets, systems, reporting, and automation for risk management organizations, preferably in financial services.
Passionate about cutting-edge technology and keen on applying new Engineering and AI algorithms and applications. Experienced with NLP, LLMs/Gen AI-driven applications, LLM fine-tuning, and strong familiarity with higher-level trends in LLMs and open-source platforms.
Proven track record of leading and managing high-performing Engineering and AI teams.
Experience in enabling service models and delivering SLA-based services to internal stakeholders.
Excellent communication and interpersonal skills, with the ability to convey complex concepts to audiences at all levels in the organization, including executives.
Strong programming skills in Python, and proficiency in various data catalog and visualization tools, including but not limited to Tableau, Power BI, Informatica, and/or Snowflake.

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 embracing diversity. 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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