Principal Software Engineer, SoFi
Fraud & AML Solutions
$192-330k
+ This role is also eligible for a bonus, and long term incentives
Mobile & online personal finance services
Be an early applicant
Mobile & online personal finance services
1001+ employees
Be an early applicant
$192-330k
+ This role is also eligible for a bonus, and long term incentives
1001+ employees
Company mission
To help people reach financial independence to realize their ambitions.
Role
Who you are
- Programming Languages: Expert-level proficiency in languages suitable for high-performance financial systems
- Streaming Platforms: Deep experience with Apache Kafka, Apache Flink, and real-time event processing architectures
- Machine Learning: Hands-on experience with AWS SageMaker, Feature Store, and ML model deployment frameworks
- Data Storage: Expertise in Snowflake, AWS DynamoDB, and time-series databases for fraud analytics
- Graph Databases: Experience with AWS Neptune and Gremlin for relationship analysis and investigation workflows
- Risk Engines: Experience with rule engines like Flowable, Camunda, or similar decisioning platforms
- Real-time Analytics: Proficiency with Apache Druid or similar OLAP systems for operational analytics
- Financial Crime: Deep understanding of fraud patterns, AML regulations (BSA/AML, OFAC), and financial crime detection methodologies
- Vendor Ecosystems: Experience integrating with fraud detection platforms like DataVisor, identity verification services, and risk data providers
- Bachelor's degree with 15+ years of experience, or Master's degree with 12+ years, or PhD with 8+ years
- Extensive experience building fraud detection or AML solutions in financial services
- Proven track record with real-time data processing, machine learning, and high-scale distributed systems
- Deep understanding of financial crime patterns and regulatory requirements
What the job involves
- We are seeking a Principal Software Engineer to join our FROST (Fraud, Risk, Operations and Support Technology) team
- This role will focus on architecting and building sophisticated fraud detection and anti-money laundering solutions using cutting-edge technologies and data-driven approaches to protect SoFi's members and business
- Real-time Fraud Detection: Design and implement advanced fraud detection systems using machine learning models, real-time streaming analytics, and complex event processing
- AML Compliance Solutions: Build comprehensive anti-money laundering solutions including transaction monitoring, customer due diligence (CDD), and suspicious activity reporting systems
- Data-Driven Risk Models: Develop sophisticated risk scoring models leveraging Member360 unified data layer and advanced analytics capabilities
- Streaming Data Architecture: Build real-time data pipelines using Apache Kafka, Apache Flink, and AWS Kinesis for processing high-volume transaction streams
- Machine Learning Integration: Implement ML models using AWS SageMaker, Feature Store, and the Batch Inference Framework for fraud and AML detection
- Graph Analytics: Develop entity relationship analysis using AWS Neptune for investigating complex fraud patterns and money laundering networks
- Real-time Analytics: Build operational dashboards and investigative tools using Apache Druid for seconds-fresh fraud and AML analytics
- Risk Decision Engines: Enhance and optimize SAFE (Security and Fraud Engine) and Flowable rule engines for sophisticated risk decisioning
- Vendor Integration: Architect solutions integrating with fraud detection vendors like DataVisor, Socure, Transmit Security, and Early Warning System (EWS)
- Investigation Tools: Build comprehensive fraud and AML investigation platforms within SoFi Atlas for operational efficiency
- What You'll Build:
- Fraud Detection Solutions
- Transaction Monitoring: Real-time fraud scoring systems processing millions of transactions with sub-second response times
- Device Risk Assessment: Advanced device fingerprinting and behavioral analytics using Transmit Security and other risk signals
- First-Party Fraud Detection: Early Warning System integration and synthetic fraud detection capabilities
- AML Compliance Solutions
- Transaction Monitoring: Comprehensive AML transaction monitoring systems for detecting suspicious patterns across all SoFi products
- Customer Risk Profiling: Dynamic customer risk assessment and due diligence automation
- Regulatory Reporting: Automated suspicious activity reporting and regulatory compliance systems
- Data & Analytics Solutions
- Member360 Implementation: Build unified member data layer enabling real-time and batch access to comprehensive member profiles
- Feature Engineering: Develop reusable feature pipelines using Snowflake, DBT, and Kafka for ML model training and inference
- Investigation Analytics: Create advanced analytics tools for fraud and AML investigators with graph visualization and pattern detection
- Impact & Innovation
- This role offers the opportunity to build next-generation fraud and AML solutions that protect millions of SoFi members while enabling business growth
- You'll work with cutting-edge technologies including real-time streaming, advanced machine learning, and graph analytics to solve complex financial crime challenges at scale
Our take
SoFi started by offering ways for students to secure better financial terms on their loans, and now offers a huge range of personal finance products, including bank accounts, loans, mortgages, investment advice, and investment opportunities. Many customers find they have to go to multiple financial service providers to meet all their finance needs, but SoFi overcomes this issue by putting it all in one place.
Its goal, to cover all the financial bases, sets them apart from many of the traditional banks and even some of their digital competitors, such as Avant, which has chosen to focus on providing credit alternatives. Although it is operating in a competitive market with a lot of big players such as Monzo, Revolut, and Starling, the company has managed to raise huge amounts of funding to support its rapid expansion.
SoFi has focussed on global expansion, moving outside the US, and has made a series of acquisitions to support this - including a Hong Kong-based investment app called 8 Securities. After going public on the New York Stock Exchange via a SPAC merger in June 2021, the company has continued to evolve and release more mission-oriented services into its roster, and strengthened its lending capabilities through a $350 million post-IPO loan. To date, the company has sold over $15 billion in personal loan collateral and continues to strengthen its offering.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2021
$369.9m
LATE VC
May 2019
$500m
GROWTH EQUITY VC
Total funding: $2.7bn
Company benefits
- Comprehensive health, vision, dental, life insurance, and disability benefits
- Generous vacation and holidays
- Paid parental leave for eligible employees
- 401(k) and education on retirement planning
- Tuition reimbursement on approved programs, up to $5,250 per year
- Monthly contribution up to $200 to help you pay off your student loans
- Great health & well-being benefits including: telehealth parental support, subsidized gym program
- Flexible time off
- Fertility and family planning options
- Free financial classes
Company HQ
The East Cut, San Francisco, CA
Leadership
Anthony Noto
(CEO)Graduated from the U.S. Military Academy after being a telecommunications officer and captain in the U.S. Army. Has worked as Head of Gobal Telecommunications, Media and Technology at Goldman Sachs, been the COO of Twitter, and also the CFO of the National Football League.
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