Analytics Engineer Assistant Vice President AVPTSG Risk Management • United States
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Analytics Engineer Assistant Vice President AVP
TSG Risk Management
- United States
- United States
Über
Team Overview The Data & Applications team develops business-facing applications and builds analytics tools, AI-enabled solutions, and data infrastructure that connect data, technology, and decision-making across the organization. The team combines financial and business expertise with technical capabilities in software development, data engineering, and analytics to deliver scalable technology solutions that support both corporate functions and client advisory teams.
Role Overview We are seeking a developer with strong analytical instincts who is excited to work at the intersection of AI, application development, and financial services. The ideal candidate is comfortable navigating ambiguity, enjoys solving complex problems involving financial data, and is motivated by applying modern analytics tools and AI technologies to real-world business challenges.
In this role, you will work closely with client-facing business teams and contribute across the entire application lifecycle, including prototyping, design, testing, deployment, and ongoing support. This is a highly visible position where the solutions you build will directly support teams that actively rely on the tools and insights delivered.
Responsibilities • Design, build, and deploy applications and analytics solutions that enhance client advisory workflows and improve access to financial data across the organization.
• Develop expertise in key financial datasets and business processes, translating business needs into practical technical solutions while making informed decisions on architecture, tools, and feasibility.
• Create and maintain well-structured datasets and analytics layers that enable business stakeholders to explore and analyze data independently.
• Ensure data reliability by managing documentation, quality standards, and monitoring for the pipelines and analytics products you develop.
• Stay informed about advancements in AI and analytics technologies and identify opportunities to leverage them within financial services workflows.
Qualifications We are looking for individuals who demonstrate initiative, can work independently, and perform well in a fast-paced, entrepreneurial environment.
• 5+ years of experience in data science, analytics engineering, or data-intensive application development, with a track record of delivering production-ready solutions.
• Proficiency in one or more programming languages such as Python, Julia, R, or JavaScript/TypeScript.
• Experience working with at least one major cloud platform (Azure, AWS, or GCP), with Azure experience considered a plus.
• Familiarity with CI/CD practices and version control tools such as GitHub or Azure DevOps.
• Strong SQL skills and experience working with modern data warehouses or analytical platforms such as Snowflake or Databricks.
• Knowledge of data modeling concepts and experience transforming raw datasets into clean, well-structured data for analysis.
• Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
Additional Experience (Preferred) • Experience with Azure services such as Azure AI, Azure Functions, or Azure OpenAI.
• Exposure to enterprise platforms like ServiceNow, Anaplan, or Workday.
• Previous experience in investment banking, financial services, or a related industry, with familiarity around deal workflows or financial reporting processes.
• Hands-on experience integrating LLM APIs (such as OpenAI, Anthropic, or Azure OpenAI) into production systems or data workflows.
• Experience using AI-assisted development tools such as GitHub Copilot or Cursor as part of an active development workflow.
Sprachkenntnisse
- English
Hinweis für Nutzer
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