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About the Role
Trepp is seeking a leader for its Data Science & Modeling team within the Engineering department, reporting to the CTO. This role involves leading, growing, and defining the future vision for a team of data scientists and engineers. You will be hands-on in building AI-powered product features, statistical models, and machine learning capabilities for Trepp's products across structured finance, commercial real estate, and banking & lending. This position is also key in shaping Trepp's AI strategy, focusing on both customer-facing features and internal AI adoption.
Responsibilities
- Be a hands-on leader of the Data Science & Modeling team, involved in model design, validation, and technical review.
- Own the technical roadmap for Trepp's modeling capabilities, setting standards for model development, validation, and deployment.
- Recruit, manage, mentor, and develop a team of data scientists and engineers, including hiring and performance management.
- Partner with technical leads across other engineering domains to ensure models are built on solid infrastructure and shipped into production.
- Partner with Sales and Product teams on strategic client conversations to articulate Trepp’s AI and data science capabilities.
- Help define Trepp's AI strategy in partnership with the CTO.
- Identify and prioritize high-value AI use cases and translate them into an executable roadmap.
- Act as a technical advisor on AI capabilities, tradeoffs, and risk for product and executive stakeholders.
- Drive internal AI tooling adoption, helping other teams use AI effectively.
- Consult senior-level stakeholders to identify business and technology needs and optimize AI tool usage.
- Evaluate new modeling techniques, tools, and data sources for adoption.
- Communicate technical concepts, model performance, and AI capabilities/limitations clearly to non-technical stakeholders.
Requirements
- Bachelor's Degree in Computer Science, Statistics, Mathematics, Data Science, or equivalent field.
- Minimum 8 years of experience in data science, quantitative modeling, or applied machine learning, including hands-on model-building work.
- Minimum 4 years of experience in leading and running an engineering team.
- Expertise in Python and the data science toolkit ecosystem (numpy, scikit-learn, pandas), plus strong SQL skills.
- Demonstrated experience shaping or executing an AI strategy.
- Experience deploying production AI systems using cloud-native technologies, containerization, and orchestration platforms.
- Working knowledge of modern LLM/agentic AI concepts and tradeoffs (RAG, tool use, evaluation, guardrails), LLMOps and how they apply to real products.
- Strong interpersonal skills and ability to effectively communicate with teams across the entire organization.
- Applicants must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Skills
- Python
- numpy
- scikit-learn
- pandas
- SQL
- AI strategy
- Cloud-native technologies
- Containerization
- Orchestration platforms
- LLM/agentic AI concepts
- LLMOps
- MLOps practices
- AWS Cloud
- GitHub-based engineering workflows
Location
- NYC
Work Type
- Hybrid
Experience Level
- 8 years of experience in data science, quantitative modeling, or applied machine learning
- 4 years of experience in leading and running an engineering team
Education Level
- Bachelor's Degree in Computer Science, Statistics, Mathematics, Data Science, or equivalent field.
- Advanced degree preferred.
Salary/Compensations
- Base salary starting from 230k plus bonus eligible
Benefits
- Base + target bonus compensation structure
- Medical, Dental, Vision insurance
- 401K (with employer match)
- Student Debt Retirement Plan
- Life insurance, long term disability, short term disability all covered by the company
- Flexible paid time off (PTO)
- Sixteen (16) weeks paid primary caregiver leave
- Four (4) weeks paid parental leave
- Pet insurance
- Laptop (company issued) + WFH equipment reimbursement
- Career progression plan
- Pre-tax commuter benefit with company subsidy
- Involvement in Diversity and Inclusion programs
- Fun company events and volunteering opportunities
About the Company
- Trepp provides a collaborative team environment where technologists work closely with Product, subject matter experts, and other technology teams.
- Trepp values individuals who are not afraid to propose new ideas and challenge the status quo.
- Trepp maintains a drug-free workplace.
Equal Opportunity
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Trepp (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status).