SoFi Technologies

3 weeks ago

Fraud Strategist - Ecosystem

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Own horizontal fraud strategy across the full SoFi member journey, designing cross-product decisioning that detects perimeter threats and scam typologies across onboarding, login, account creation, funding, and money movement. Lead cross-product device forensics and entity-resolution signals, build risk-tiered frameworks for ACH/FedNow/Wire/Zelle/P2P, and partner with fraud and security teams to ship rules-engine changes with governance, monitoring, and escalation.

Location: San Francisco, New York, Seattle, Charlotte

Workplace: Onsite

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Own fraud strategy across the full SoFi product surface, designing decisioning that uses signals from onboarding, login, money movement, and product activity together.
•Lead cross-product perimeter defense for ATO carryover, scam interception (e.g., A push payment, romance, investment, impostor, business email compromise), mule-account detection, and synthetic-identity attacks at funding.
•Drive device forensics across product lines using shared device-graph infrastructure, emulator/VM detection, jailbreak/root signals, residential-proxy detection, and entity resolution.
•Design risk-tiered money movement decisioning for ACH, FedNow, Wire, Zelle, and P2P by replacing fixed dollar caps with dynamic frameworks priced on velocity, recency, counterparty risk, and scam telemetry.
•Build the cross-product analytics layer in SQL and Python (feature tables, entity-resolution signals, and rule-level attribution) and partner with EPD, Fraud Ops, InfoSec, and product owners to ship rules-engine changes with governance and monitoring.

Pay and Benefits

Salary: USD 115,200 - 144,000 annually

Key Requirements

•BA/BS in Statistics, Information Systems, Mathematics, Data Science (or related) or equivalent experience, plus 5–8 years of fraud analytics experience across multiple product lines.
•Demonstrated track record reducing account takeover (ATO) and scam losses across more than one product line, with detailed familiarity with scam taxonomy.
•Operational fluency in perimeter threats (e.g., credential stuffing, MFA bombing, SIM swap, mule-account farming, synthetic identity at funding, first-party intent fraud).
•Hands-on device forensics experience including device fingerprinting, emulator/VM detection, jailbreak/root signals, behavioral biometrics, and entity-level device-graph analysis.
•Expert SQL/Python skills and ability to build automated, high-volume data architectures and statistical models for global risk detection.

Experience:5-8 yearsFraud analyticsFintechAccount takeoverDevice forensicsRisk analyticsReal-time payments

Education:Bachelor's

Skills:Cross-functional collaborationStakeholder alignmentProblem-solvingStrategic influenceProactive execution

Languages:English

Tech Stack:SQLPythonACHFedNowWireZelleP2PSocurePersonaVeriffOscilarSAFECamunda

Company Brief

SoFi Technologies

Industry: Neobanking

Website

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SoFi Technologies

3 weeks ago

Fraud Strategist - Ecosystem

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Seattle, Charlotte

Workplace: Onsite

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Own fraud strategy across the full SoFi product surface, designing decisioning that uses signals from onboarding, login, money movement, and product activity together.
•Lead cross-product perimeter defense for ATO carryover, scam interception (e.g., A push payment, romance, investment, impostor, business email compromise), mule-account detection, and synthetic-identity attacks at funding.
•Drive device forensics across product lines using shared device-graph infrastructure, emulator/VM detection, jailbreak/root signals, residential-proxy detection, and entity resolution.
•Design risk-tiered money movement decisioning for ACH, FedNow, Wire, Zelle, and P2P by replacing fixed dollar caps with dynamic frameworks priced on velocity, recency, counterparty risk, and scam telemetry.
•Build the cross-product analytics layer in SQL and Python (feature tables, entity-resolution signals, and rule-level attribution) and partner with EPD, Fraud Ops, InfoSec, and product owners to ship rules-engine changes with governance and monitoring.

Pay and Benefits

Salary: USD 115,200 - 144,000 annually

Key Requirements

•BA/BS in Statistics, Information Systems, Mathematics, Data Science (or related) or equivalent experience, plus 5–8 years of fraud analytics experience across multiple product lines.
•Demonstrated track record reducing account takeover (ATO) and scam losses across more than one product line, with detailed familiarity with scam taxonomy.
•Operational fluency in perimeter threats (e.g., credential stuffing, MFA bombing, SIM swap, mule-account farming, synthetic identity at funding, first-party intent fraud).
•Hands-on device forensics experience including device fingerprinting, emulator/VM detection, jailbreak/root signals, behavioral biometrics, and entity-level device-graph analysis.
•Expert SQL/Python skills and ability to build automated, high-volume data architectures and statistical models for global risk detection.

Experience:5-8 yearsFraud analyticsFintechAccount takeoverDevice forensicsRisk analyticsReal-time payments

Education:Bachelor's

Skills:Cross-functional collaborationStakeholder alignmentProblem-solvingStrategic influenceProactive execution

Languages:English

Tech Stack:SQLPythonACHFedNowWireZelleP2PSocurePersonaVeriffOscilarSAFECamunda

Company Brief

SoFi Technologies

Industry: Neobanking

Website