<p>About the role</p> <p>Betterment's Investing Team provides the domain expertise required to build all product solutions that deliver financial advice to its customers. Integrated closely with the Capital Markets, Operations, Product, and Engineering teams, we engage in rigorous R&D and iteration to create long-term value and efficiencies for our clients. As a Lead Quantitative Researcher, you will primarily be responsible for executing the team's portfolio management and advice tool processes, contributing to the development of our advice-driven algorithms, verifying that we're in compliance with existing regulations, and contributing to financial market research and content creation as necessary. You will be reporting to a seasoned quantitative researcher on the Investing Team.</p> <p>We're seeking someone with significant experience in both code development and quantitative investing. You should be analytically minded, with a deep passion for making investing better, combined with a strong attention to detail. To be successful in this role, you will be curious, resourceful, and hands-on, with a "roll your sleeves up" attitude toward getting your work done. You will be joining a team that cares deeply about the product, doing the right thing, and motivating others to always keep serving the customer top of mind. This role will also provide exposure to each of Betterment's retail customer, financial advisor, and 401(k) plan sponsor lines of business.</p> <p>This role is based out of our NYC office. Below we've reflected the base salary range we would offer for this position. Actual salaries may vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Betterment's total compensation package for employees.</p> <ul> <li>New York City: $130,000 - $165,000 </li></ul> <p>We offer a competitive equity package, health, dental and vision benefits, life and AD&D, short-term and long-term disability insurance, EAP, commuter and parking benefits FSA/HSA, and 401(k) with employer match as well as a flexible PTO policy. This job may also be eligible for variable compensation in the form of a company incentive bonus.</p> <p>A day in the life</p> <ul> <li>Iterate on the development of code for both Research & Development and Production environments </li><li>Maintain internal analytic libraries and tools that impact our portfolio construction and advice infrastructure </li><li>Own recurring workflows involving the updating and maintenance of portfolio allocations and assumptions driving our advice tools </li><li>Assist with automating processes, ongoing analyses, and quality assurance processes </li><li>Contribute to the researching, prototyping, reviewing and implementation of the quantitative methods that drive our client advice and trading execution algorithms. </li><li>Build strategic and trusted relationships with our Capital Markets, Product, and Engineering teams to help bring investing products to life </li><li>Interface with compliance and legal teams to help ensure appropriate governance and documentation of Betterment portfolio management and advice </li><li>Answer client and internal stakeholder questions on Betterment's approach to investing and our advice tools </li><li>Support the team with writing, researching, and analyzing content on the performance of financial markets and the macroeconomy and how both have influenced returns of all Betterment investment portfolios </li><li>Assist with the creation and improvement of portfolio-management-related materials for internal and external audiences, including slides presented to the Betterment Executive Investment Committee, Algorithm Governance Committee, Crypto Investing Committee, portfolio factsheets, market insight publications, and webinar presentations </li></ul> <p>What we're looking for</p> <ul> <li>Prior experience in financial services </li><li>Strong mathematical foundation with hands-on experience in quantitative and statistical techniques </li><li>Experience writing production-quality, scalable, efficient code for reliable testing </li><li>Strong knowledge of SQL and Python or R </li><li>Experience with Git and Julia is advantageous </li><li>Resourcefulness, efficiency, and ability to conduct independent research </li><li>Clear and effective communication skills (both verbal and written) </li></ul>