Peppercorn is an early-stage financial technology company dedicated to empowering financial advisors with a comprehensive investment platform. Our mission is to provide a single, sophisticated space where advisors can seamlessly manage both traditional and alternative assets, including private equity, real estate, and venture capital. The platform features an advanced optimizer/rebalancer to streamline portfolio management, freeing up advisors' time from tedious administrative tasks. This enables them to focus on what matters most: delivering strategic, data-driven advice and building stronger client relationships. Ultimately, Peppercorn provides the tools and technology advisors need to thrive in a complex and evolving market.

What You’ll Do

• Make an impact in both investment research and quantitative development.

• Research, implement, test, and maintain optimizers and supporting AI/ML algorithms.

• Contribute to historical and forward-looking simulation frameworks and data platforms.

• Develop code using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live.

• Foster a culture of excellence, velocity, and humility while prioritizing industry-leading investment science.

What You Need

• 1-3 years of relevant professional experience preferred; entry-level candidates are encouraged to apply based on internships and personal projects.

• A degree in computational mathematics, financial engineering, or computer science.

• Proficient in using quantitative, statistical, and ML/AI techniques.

• Experience using commercial optimizers (Gurobi, CPLEX) is a big plus. • Proficient in Python (Pandas, NumPy, SciPy, SciKit-Learn, etc), Git, SQL, and Jira.

• Build and deploy machine learning algorithms and advanced analytical solutions.

• An understanding of financial capital markets and various financial instruments and tools.

• Ability to leverage AI tools and platforms.

What’s Good to Have

• Excellent mathematical foundation and hands-on experience using quantitative methods.

• Ability to shift gears and react quickly to urgent business needs.

• Strong written and verbal communication and analytical problem-solving skills.

• A drive to thrive in a fast-paced environment and a desire to continuously grow.