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An AI wealth platform for individual investors and financial institutions.

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About Arta Finance

The company, in brief.

What they do

Arta Finance runs a wealth management platform that uses AI. Individuals use it to build portfolios, with US tax optimization and access to public and private market strategies. Banks and other financial institutions use its platform, products, and AI to serve their own clients. Arta is regulated in the US and Singapore.

What they value

  • Trust.
  • Teamwork.
  • Adaptability.
  • Access: top-tier finance must not be only for the lucky few.

Where they hire

Four roles are in the Bay Area, at the Mountain View office, and three are in Singapore. Bay Area roles are hybrid, with three days a week in the office. Each Bay Area role needs at least one interview in person. One Bay Area role is open to strong remote candidates on the West Coast. No posting mentions visa sponsorship.

Teams and roles

Six of the seven roles are in Engineering. The seventh is a VP of Product for the B2B wealth platform in Singapore.

  • Bay Area: a machine learning engineer for the AI agent platform, a software engineer for data infrastructure and performance metrics, a senior quant research engineer for portfolio optimization and trading, and a senior platform engineer for trading, ledger, and billing systems.
  • Singapore: a backend engineer who builds with AI agents, and a forward deployed engineer who works inside a partner's team.

Bay Area roles give pay ranges from $110,000 to $250,000, and equity comes on top.

What they look for

Six of the seven roles ask for five or more years of experience. Four roles ask for Python, and five ask for distributed systems. Three roles ask for fluent use of AI coding tools, such as Claude Code or Cursor. Three ask for work with LLMs or agent frameworks. Many roles count experience with financial systems, such as trading, ledgers, or brokerage, as a plus. The quant role asks for portfolio theory, optimization, and tax-loss harvesting. Bay Area interview exercises must be done without AI tools.

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