10 часов назад
Strategy Data Scientist (Fintech)
112 700 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Strategy Data Scientist (Fintech) (Compliance Data & Analytics): Designing scalable data solutions, dashboards, and automation for BILL’s compliance technology ecosystem with an accent on risk analytics, data transformation, and business intelligence. Focus on extracting and analyzing large datasets, troubleshooting compliance systems, and building metrics and technology accelerators for financial services compliance.
Location: United States; remote-eligible role
Salary: $95,800–$114,800, $101,400–$121,500, or $112,700–$135,000 gross annual, depending on geographic zone.
Company
is a fintech company building financial automation tools that help businesses manage payments, spend, and operational processes.
What you will do
- Support the compliance technology ecosystem, including internal and third-party tools, accelerators, and data sources.
- Analyze stakeholder requirements and design repeatable, scalable data solutions.
- Extract, transform, and analyze data from source-system databases and data lakes.
- Create self-service dashboards, analytics solutions, and ongoing compliance metrics.
- Automate data and business intelligence workflows and enhance existing dashboards and analytics.
- Troubleshoot compliance systems, perform root-cause analysis, recommend fixes, and improve documentation and technology accelerators.
Requirements
- Proficiency in SQL, Python, and Excel.
- Experience with risk, compliance, or Trust & Safety systems in payments or financial services.
- Strong analytical skills for organizing, analyzing, and communicating insights from large datasets.
- Experience with business intelligence tools such as Tableau or Power BI.
- Ability to work independently in a fast-paced environment with strong communication and attention to detail.
- Must be authorized to work in the United States without requiring visa sponsorship now or in the future.
Nice to have
- Knowledge of the data science development lifecycle, including feature engineering, modeling, evaluation, deployment, and monitoring.
- Experience with the modern data stack, such as Fivetran, Starburst, or dbt.
- Familiarity with MLOps, data pipelines, Palantir Foundry, backend development, or compliance and anti-money-laundering systems.
- Familiarity with prompt engineering and models such as Sonnet and Gemini.
Culture & Benefits
- Fast-paced, collaborative environment focused on financial automation and compliance technology.
- 100% paid employee health, dental, and vision plans.
- HSA and FSA accounts, life insurance, and short- and long-term disability coverage.
- 11+ observed holidays, wellness days, and flexible time off.
- 401(k) retirement plan, employee stock purchase program, wellness initiatives, and employee assistance program.
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