СШАHead of Quantitative Research
1 мес. назад
СШАHeadOnsite
quantitative researchportfolio managementtax-loss harvestingdirect indexingmodeling
Lead quantitative research and modeling for portfolio construction and management in a financial services company.
Обязанности
- As 's Head of Quantitative Research, you will own the research and modeling behind how every member's portfolio gets built, rebalanced, and managed for taxes, from the models under our portfolio construction to the rules that make tax-loss harvesting and direct indexing work at scale. You will report to our CIO, working closely with Investment Operations and Engineering to move your research into production and with Compliance to keep it within our fiduciary obligations.
- We're excited to hire this role in 's New York City office. All of our positions follow an in-office schedule Monday through Friday, allowing you to collaborate directly with your team. If you're not currently based in the area but love what you see, let's discuss relocation as part of your journey to joining us.
- Own the design and ongoing refinement of 's core portfolio construction methodology, including asset allocation, security selection, and rebalancing logic
- Build rigorous backtests to validate model changes, weighing tradeoffs between tracking error, tax efficiency, and transaction costs
- Lead research on tax-aware strategies, including tax-loss harvesting and direct indexing, and turn the findings into production rules
- Partner with Engineering to turn research into production code, and monitor live portfolio and rebalancing behavior after launch
- Evaluate new data sources, market data vendors, and modeling approaches that could improve member outcomes
- Present research findings and model changes to the CIO and Investment Committee in plain terms
- Share your insights beyond our walls by contributing to published market commentary, and representing at conferences and in the media
- Work with Compliance and Legal to confirm new strategies hold up under our Advisers Act obligations and 's fiduciary standard
Условия
- Health & Wellness : 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage
- 401(k) : Retirement savings program to support your future
- Paid Time Off : Dedicated time to reset and recharge plus most federal holidays
- Parental Leave : Comprehensive leave policy for growing families
- Meals: Select meals covered throughout the week
- Fitness: Monthly movement stipend
- Equity & Career Growth : Early exercise eligibility and a strong focus on professional development
- Annual Compensation Reviews : Salary and equity refreshes based on performance
- Boomerang Program: After two years at , you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return
Другое
- is creating AI-powered solutions to eliminate financial complexity for our members. We’re transforming wealth management through the perfect blend of cutting-edge technology and human expertise. We’re obsessed with member experience! We’ve built an integrated platform that tackles the full spectrum of financial needs–investments, taxes, retirement planning, and estate management–all unified in one intuitive system.
- Backed by Google's Gradient Ventures and Cathay Innovation, we're in hyper-growth mode and looking for exceptional talent to join our starting lineup. Every Ranger at this stage is shaping our culture and way of life—from former CEOs and startup founders to experts from leading hedge funds and tech companies.
- If you're ready to build something that truly matters in financial services, bring your talent to . Here, you'll make a genuine impact on how people manage their financial lives while working alongside a team that celebrates wins, makes big decisions, and blazes new trails together
- 9+ years of experience in quantitative research, portfolio management, or investment strategy, ideally at a digital wealth management or asset management firm
- Bachelor's degree in a highly quantitative field such as statistics, mathematics, economics, or financial engineering; advanced degree or CFA progress a plus
- Strong grounding in portfolio theory, including mean-variance optimization, factor models, and risk-adjusted return analysis
- Fluency in Python and SQL for research and production work; familiarity with portfolio risk tools like Barra, Axioma, or Aladdin, or data vendors like Bloomberg or FactSet, a plus
- Direct experience building or maintaining tax-aware investment strategies, including tax-loss harvesting or direct indexing
- Experience with tax-aware long/short extensions and concentrated stock diversification
- A track record of shipping research into production, not just publishing findings; FinTech, RIA, or broker-dealer experience a plus
- Clear communication skills, with comfort moving between deep research and fast turnaround requests