Head of Machine Learning – Application Fraud

Stelle nicht auf LinkedIn

🕒 vor 3 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $210.000 - $260.000 / Jahr

⏰ Vollzeit

🔴 Experte

🤖 Machine-Learning-Entwickler

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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SentiLink

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2017

🔐 Sicherheit

💳 Fintech

💸 Finanzen

💰 €70.000.000 Series B im 2021-08

Security • Fintech • Finance

SentiLink ist ein Unternehmen, das sich auf die Bekämpfung von Identitätsbetrug für Finanzinstitute spezialisiert hat. Durch den Einsatz von maschinellen Lernmodellen und menschlicher Expertise bietet SentiLink maßgeschneiderte Lösungen, um Identitätsdiebstahl beim Antragsprozess für verschiedene Finanzdienstleistungen, einschließlich Einzahlungen, Krediten und Darlehen, zu verhindern. Ihre Produkte gewährleisten, dass Kunden sicher auf Finanzdienstleistungen zugreifen können, während Betrugsverluste mit einem flexiblen und reaktionsschnellen Risikomanagement-Minimiert werden.

Beschreibung

• Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6. • Act as a technical mentor that can dive deep and provide detailed direction. • Lead planning, resourcing and communications with senior leadership, product and engineering teams. • Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines. • Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring. • Research new types of fraud and develop new SentiLink products around identity verification. • Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering. • Write production-ready code that can be relied on for real-time decision making by our partners. • Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.

🎯 Anforderungen

• 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD. • 2-5 years experience directly managing a team of data scientists, ideally in a startup environment. • 3+ years of startup experience. • Excellent communicator and team player. • Proven track record of solving complex / high profile business problems with DS / ML solutions. • Experience in communicating outcomes / progress to senior management / stakeholders. • Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc). • Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus. • Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is. • Experience writing production code and tests. • Detail oriented and thoughtful—someone we can rely on to make business-changing decisions. • Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems. • Bonus for familiarity with: identity solutions, fintech, or adjacent industries. • Candidates must be legally authorized to work in the United States and must live in the United States.

🏖️ Vorteile

• Employer paid group health insurance for you and your dependents • 401(k) plan with employer match (or equivalent for non US-based roles) • Flexible paid time off • Regular company-wide in-person events • Home office stipend, and more!