3 дня назад
Financial Services Industry Architect (Data & AI)
187 200 - 245 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Financial Services Industry Architect (Data & AI): Designing and taking data- and AI-powered architectures and solutions to market for core banking, lending, payments, risk, and compliance workloads with an accent on financial services data, cloud platforms, and scalable enterprise architecture. Focus on building fraud detection, credit risk, regulatory reporting, and customer 360 solutions, advising executive stakeholders, and creating repeatable industry assets.
Location: United States — New York, NY; remote in the US Northeast and New Jersey. Travel to customer sites and industry events is required as needed.
Salary: $187.2K–$245.7K annually.
Company
Snowflake provides a cloud-based Data Cloud platform that enables organizations to manage, analyze, and derive value from data at scale.
What you will do
- Partner with banks and financial services organizations on strategic opportunities, advising executives, chief data officers, chief risk officers, and enterprise data architects.
- Design end-to-end data- and AI-powered architectures for fraud detection, credit risk modeling, regulatory reporting, customer 360, lending, payments, and other core banking workloads.
- Create repeatable enterprise architectures, use-case journeys, system blueprints, demos, workshops, playbooks, and field-enablement materials.
- Provide structured customer and industry feedback to influence the Snowflake product roadmap.
- Support ecosystem partner engagement, domain-specific architecture reviews, strategic stakeholder alignment, and financial services RFPs.
- Represent financial services technical thought leadership through blogs, presentations, webinars, conferences, and industry events.
Requirements
- 10+ years of architecture experience building, consulting to, or implementing technology for core banking or financial services organizations.
- Expertise in financial services data topics and the functional areas of retail and commercial lending, payments, treasury, risk and compliance, and finance.
- Experience with large-scale databases or data warehouses, ETL, analytics, public cloud technologies, and customer-facing architecture development.
- Understanding of data science and machine learning applications in financial services, including credit scoring, fraud detection, and AML or transaction monitoring.
- Hands-on knowledge of SQL and Python; familiarity with Java or Scala is a plus.
- Bachelor’s degree required; a relevant master’s degree or equivalent experience is preferred. Strong presentation, communication, consulting, and executive-engagement skills are expected.
Nice to have
- Experience with core banking platforms such as Temenos, FIS, Fiserv, or Finacle.
- Knowledge of risk and compliance systems, actuarial tools, payment networks, CRMs, and third-party financial data providers.
- Familiarity with Basel III/IV, DORA, IFRS 9/17, Solvency II, BCBS 239, AML/KYC, NAIC, and state DOI reporting.
- Experience with Java, Scala, or other programming languages.
Culture & Benefits
- Work in an AI-native, experimental environment focused on reinventing how work gets done.
- Collaborate with internal teams, financial services customers, and ecosystem partners to scale industry solutions.
- Travel to customer sites, conferences, and related events as required.
- Follow strict confidentiality and data security standards when handling sensitive customer information.
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