Performance & Portfolio Data Associate
- USD 70,000 to 80,000 per year
- Boston, MA
- Entry-level
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Data role supporting sales, client service and investment teams with portfolio analysis and reporting; hybrid, four days a week in the office.
About the role
Sits in the firm's enterprise data and analytics group, handling analytics requests from data input through final review. Also feeds cross-team work on reporting, automation and client engagement.
At a glance
- Pay
- USD 70,000 to 80,000 per year
- Location
- Boston, MA
- Seniority
- Entry-level
- Skills
- FactSet, Morningstar, Bloomberg, Excel, SQL, Power BI, eVestment, Eagle
- Posted
- 29 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Analyse prospective clients' portfolios and compare them with proposed firm strategies
- Assemble asset allocation breakdowns and income projections for private wealth clients
- Classify holdings and mutual funds by asset class, sector and market cap using Bloomberg, FactSet and Morningstar
- Produce attribution reports so management can judge investment decisions and explain performance
- Resolve follow-up questions from sales and client service promptly and professionally
What they look for
- One to three years in investment performance, client reporting, data analysis or a related investment role
- Strong Excel skills, including complex formulas and charting
- Experience with investment analytics tools such as FactSet, Bloomberg, Morningstar, eVestment or Eagle
- Basic database and query knowledge, for example SQL or Power BI
Benefits
- Discretionary bonus and possible commission on top of base pay
- Base salary range of $70,000 to $80,000 USD
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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- 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.
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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 x7o6vfp7ofQuestions about this job
Where is this job based?
The posting lists Performance & Portfolio Data Associate as a role based in Boston, MA, United States.
What does this job pay?
The posting states USD 70,000 to 80,000 per year.
What experience is needed?
It is an entry-level role. The posting asks for: one to three years in investment performance, client reporting, data analysis or a related investment role; strong Excel skills, including complex formulas and charting; experience with investment analytics tools such as FactSet, Bloomberg, Morningstar, eVestment or Eagle. Skills it names include FactSet, Morningstar, Bloomberg, Excel.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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