Amaltash Senior Quant Researcher San Francisco, CA · Full time Company website

Apply for Senior Quant Researcher

Amaltash is an AI-powered algorithmic trading infrastructure platform built by Rainbow Labs Inc. We’re transforming how wealth managers, hedge funds, and RIAs access institutional-grade quantitative strategies. Our marketplace connects sophisticated algorithmic strategies — backtested, validated, and ready to deploy — directly to portfolio managers through seamless brokerage integrations across US and Indian markets. Think of us as the bridge between cutting-edge quant research and the advisors who manage real capital. We’re backed by a growing community of strategy creators (including top university quant teams) and are scaling rapidly across the wealth management ecosystem. Headquartered in San Francisco, we’re a lean, high-velocity team building the future of democratized alpha.

About Amaltash

Amaltash is building an AI-native wealth platform. People describe an investing idea in plain English; our agents turn it into rules-based code that runs in an isolated environment, with risk rules that can move a portfolio to cash, gold or T-bills when volatility rises. Every strategy shows exactly how it is built. We are a small team in San Francisco. Our customers are people like us: engineers, product managers and leaders who invest their own money.

Amaltash Advisors LLC is an SEC-registered investment adviser; registration does not imply a certain level of skill or training. Brokerage, custody and trade execution are provided by Alpaca Securities LLC, member FINRA and SIPC. We are backed by investors including IDEO Labs, Balaji Srinivasan and Plug and Play.

The role

Research the indicators and risk rules behind our strategies: when a portfolio should move to cash, gold or T-bills, and when it should step back in. You write the research and the production code.

What you will do

• Design, test and document volatility and regime indicators.
• Build the backtesting and validation tools our strategies are checked against.
• Explain each rule in plain English so investors can see how it works.

What you bring (4+ years)

• A bachelor's or master's in mathematics, statistics, physics or a related field.
• 4+ years in quant research, trading or data science.
• Strong Python and statistics; you know how backtests mislead.

Big bonus

• You work, or have worked, in fintech, wealth management, brokerage or trading.
• You invest your own money and have used Wealthfront, Betterment, Robinhood or similar, and wanted more control than they give you.
• A PhD, or published or open-source research we can read.

Pay

$200K - $280K / yr base, plus equity. Hybrid, San Francisco, California, United States.

How to apply

Apply on this page, then email [email protected] with the subject "Senior Quant Researcher" and short answers to:

1. What is the best technical project you have built? Send a link we can open: a live product, a repo or a write-up.
2. Any open-source work? Link the repos or merged pull requests.
3. Your GitHub profile.
4. What is the best use of AI you have shipped or relied on that you have not heard anyone else describe?
5. What are you most proud of, and why?
6. Which investing tools do you use today (Wealthfront, Betterment, Robinhood, a spreadsheet), and what do they get wrong for you?