9 дней назад
Senior Principal Research Analyst, Advanced Analytics
131 200 - 238 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Principal Research Analyst, Advanced Analytics (Machine Learning/Data Science): Planning and executing advanced analytics projects across regulatory operations, including predictive pipelines, cross-market surveillance, and analytics systems with an accent on machine learning, data mining, natural language processing, and quantitative methods. Focus on automating predictive workflows, expanding analytics capabilities, integrating data sources, and solving complex regulatory efficiency challenges.
Location: Hybrid role with defined in-person presence requirements in the United States, including Rockville, MD and other listed locations.
Salary: $131,200–$238,300 annually for work performed in Rockville, MD. Ranges vary by listed U.S. location.
Company
is a securities regulator focused on investor protection and market integrity.
What you will do
- Plan, scope, and execute analytics projects from definition through delivery.
- Promote advanced analytics and communicate insights to internal and external stakeholders, including senior management.
- Lead business engagement activities such as gathering use cases, collecting feedback, and delivering training.
- Contribute to ’s cross-market surveillance program and analytics capabilities for regulatory operations.
- Define data collection and transformation approaches, incorporate third-party data, and support analytics infrastructure.
- Design and automate predictive pipelines and provide analytics-based research for business requests.
Requirements
- Bachelor’s degree in STEM, business, or a similar quantitative discipline, plus six or more years of related experience in data science, engineering, or software development, or equivalent experience.
- Strong knowledge of at least one programming language: Python, R, SQL, or Scala.
- Strong problem-solving, analytical, interpersonal, and communication skills.
- Ability to work independently on complex and prolonged projects.
- Ability to work in a hybrid environment with defined in-person presence requirements.
Nice to have
- Experience with machine learning, data mining, and natural language processing.
- Familiarity with big data processing and platforms.
- Experience mentoring research analysts and applying advanced analytics methodologies.
Culture & Benefits
- Collaboration is expected both in person and virtually in support of ’s mission.
- Occasional travel and extended hours may be required.
- Health, dental, vision, disability, life, and long-term care insurance options.
- 401(k) plan with company match and additional retirement contribution eligibility.
- Paid time off, personal and sick days, paid holidays, parental leave, volunteer days, tuition reimbursement, commuter benefits, and wellness programs.
- Employment is subject to investment, securities account, confidentiality, and invention assignment requirements.
Hiring process
- Applications are accepted on an ongoing basis through the careers site.
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