Assistant Vice President - Technology (Senior Full Stack Application Developer)

PJT Partners•New York, NY

About The Position

PJT Partners is a global advisory-focused investment bank. Our team of senior professionals delivers a wide array of strategic advisory, shareholder advisory, restructuring and special situations and private fund advisory and placement services to corporations, financial sponsors, institutional investors and governments around the world. We offer a unique portfolio of advisory services designed to help our clients achieve their strategic objectives. We also provide, through PJT Park Hill, private fund advisory and fundraising services for alternative investment managers, including private equity funds, real estate funds and hedge funds. From the beginning, PJT Partners has firmly believed that having the best people is key to building an enduring franchise. Our perspective was, and remains, that a great team brings in both top tier clients and appeals to a wide-range of diverse, talented colleagues. Fostering an inclusive culture, which welcomes differing perspectives and beliefs, enables us to provide the best advice and insights to our clients. To learn more about PJT Partners, please visit our website at www.pjtpartners.com. The PJT Partners Technology team is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm’s business activities. The Data & Applications team within Technology manages business-facing applications and builds the analytics products, AI-powered tools and data infrastructure that connect data, technology and decision-making across the firm. Team members combine finance and business expertise with technical skills in application development, data engineering and data analytics to deliver technology solutions across corporate functions and client advisory. We are looking for a developer with strong analytics instincts to join us at the intersection of AI, application development and financial services: someone who thrives on ambiguity, enjoys solving hard problems with financial data and is energized by applying emerging analytics tooling and AI capabilities to real business problems. In this role, you will work primarily with client-facing business units, contributing across the full application lifecycle from prototyping and design through testing, deployment and ongoing support. This is a high-visibility role where the work is meaningful and the people you build for are deeply engaged in what you deliver.

Requirements

5+ years of data science, analytics engineering or data-heavy application development experience, with a track record of building and shipping production products
Proficiency in one or more programming languages such as Python, Julia, R or JavaScript/TypeScript
Experience with at least one public cloud platform (Azure, AWS or GCP); familiarity with Azure services a plus
Experience with CI/CD practices and source control tools such as GitHub or Azure DevOps
Strong SQL skills and experience working with data warehouses or analytical data platforms; experience with Snowflake or Databricks a plus
Familiarity with data modeling concepts and experience transforming raw data into clean, well-structured datasets for analytical use
Strong communication skills and ability to collaborate with non-technical stakeholders

Nice To Haves

Familiarity with Azure services such as Azure AI, Function Apps or Azure OpenAI
Experience with enterprise platforms such as ServiceNow, Anaplan or Workday
Prior experience in investment banking, financial services or a related industry, with an understanding of deal workflows, financial reporting or client-advisory processes
Hands-on experience integrating LLM APIs (such as OpenAI, Anthropic or Azure OpenAI) into production applications or data workflows
Comfort using AI-assisted code generation tools (such as GitHub Copilot or Cursor) as part of an active development workflow

Responsibilities

Design, develop and deploy applications and analytics solutions that support client-advisory workflows, with a focus on making financial data more accessible and actionable across the firm
Develop subject matter expertise on key financial data elements and business workflows, and translate that understanding into technically sound solutions, making independent decisions on feasibility, tooling and architecture
Design and maintain clean, well-modeled datasets and analytics layers that enable business stakeholders to answer their own questions with confidence
Own data quality, documentation and reliability for the analytics products and pipelines you build, with a bias toward self-service and scalability
Stay current on advancements in AI and analytics technologies, and proactively identify opportunities to apply them to financial services workflows at PJT