Manager, Product, Systematic Trading
- USD 80,000 to 120,000 per year
- Boston, MA
- Full-time
- Lead
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Product management role on an equity trading and analytics platform, guiding strategy and delivery for trading tools used by clients.
About the role
Equity trading and analytics products are yours to evolve, from roadmap through release. The team builds trading infrastructure and algorithms that help clients get better execution.
At a glance
- Pay
- USD 80,000 to 120,000 per year
- Location
- Boston, MA
- Seniority
- Lead
- Employment
- Full-time
- Skills
- Python, KDB/Q, Snowflake, AWS, Transaction Cost Analysis, Trading algorithms
- Visa
- No sponsorship
- Posted
- 30 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Lead the product strategy and roadmap for equity trading and analytics offerings
- Modernize trading infrastructure and data pathways so the platform scales to varied customer needs
- Analyze trading data to find ways to lower transaction costs for clients
What they look for
- A bachelor's degree in engineering, computer science, applied math or another quantitative field
- Experience in systematic trading and transaction cost analysis, with a record of improving trading algorithms
- Knowledge of the US equity market, trading algorithms and market microstructure
- Technical skills in Python, KDB/Q, Snowflake and AWS
Nice to have
- Series 7, 57 and 63 licenses, to be obtained within a timeframe the business sets
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job qt3nzvszbvQuestions about this job
Where is this job based?
The posting lists Manager, Product, Systematic Trading as a role based in Boston, MA, United States.
What does this job pay?
The posting states USD 80,000 to 120,000 per year.
What experience is needed?
It is a lead role. The posting asks for: a bachelor's degree in engineering, computer science, applied math or another quantitative field; experience in systematic trading and transaction cost analysis, with a record of improving trading algorithms; knowledge of the US equity market, trading algorithms and market microstructure. Skills it names include Python, KDB/Q, Snowflake, AWS.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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