
Fund Accounting Sr. Associate
at A Fortune 29 Global Telecommunication Service Company .
Perform daily reconciliation of accounts between Geneva and Custodian/Prime Broker.
Monthly investigation on Reconciliation discrepancies and verify all the transactions (Independently
complete cash, portfolio and capital reconciliations and investigate and resolve any discrepancy).
Prepare monthly financial reporting package for Hedge Funds, including the determination of "Net
Asset Value" and
prepare the Statement of Asset and Liabilities and Profit and Loss Statement
Ensure Fund income and expenses, including management and performance fees, are accrued for and
are in accordance with relevant accounting standards (Calculation of Incentive Fee and Management
Fee).
Accurate and timely processing of all capital activities including subscriptions, redemptions,
transfers, rollups, capital commitments and calls.
Derive pricing for portfolio investments. Updating status reports.
Cash Management-managing the daily cash flow of trades and monitoring fund cash-flows.
Process incoming and outgoing cash movements related to capital activity.
Creation and maintenance of investor information including payment models and contacts.
Preparation of Investor and Client reports including Audit confirmations, Trade confirmations etc.
Communicate the transactions associated with the fund(s) and work closely with internal and external
clients to provide accurate and thorough accounting packages.
Correspond with external investment managers regarding day-to-day fund inquiries including entering
security trades, fee, payments, cash position breaks, and reconciliations. Client engagement and a
dedication to quality service is a must for success.
Requirements for this role include:
University degree or equivalent that required 3+ years of formal studies of Finance/Accounting
principles
2+ year(s) of accounting experience for financial instruments (equities, fixed income, and derivatives),
operation of capital
markets, and life cycle of trades. Well versed with all financial instruments
Complete procedural knowledge of fund accounting is a must. Trade Booking, Cash reporting,
Exception analysing, reconciliation of assets and cash, Post pricing issues etc.
2+ year(s) of data entry experience that required a focus on quality including attention to detail,
accuracy, and
accountability for your work product.
2+ year(s) of experience using MS-Excel that required you to use Formulas, Tables & Formatting,
Conditional Formatting,
Charting, Pivot tables & Pivot Reporting.
2+ year(s) of experience in a service-oriented role where you had to correspond in writing or over the
phone with external
customers.
Ability to work regularly scheduled shifts from Monday-Friday.
Desired qualities:
A drive to broaden one’s knowledge of the financial services industry by learning new concepts and
systems and taking the
initiative to apply it to daily work assignments.
Attention-to-detail to ensure that all deliverables consistently meet the highest standard of quality
and accuracy.
Positivity and collegial approach in assisting both colleagues and clients and the ability to work in
team environment.
Curiosity, critical thinking and attention to detail: Whether it’s to identify a solution to a problem or
possibly help
implement a more efficient process or procedure, your skills have a place in our business.

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You will ship real systems, used by real teams, with real impact.
If you’ve never built anything outside coursework, this role is probably not a fit.
What You’ll Work On
You will work directly on designing, building, deploying, and iterating AI agents that power internal workflows.
Examples of problems you may tackle:
Internal AI agents for:
- Knowledge retrieval across Notion / docs / Slack
- Automated report generation
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- Process automation (ops, hiring, onboarding, etc.)
- Decision-support copilots
- Prompt engineering + structured outputs + tool-using agents
Building workflows using:
- LLM APIs
- Vector databases
- Agent frameworks
- Internal dashboards
- Improving reliability, latency, cost, and usability of AI systems
- Designing real UX around AI tools (not just scripts)
You will own features end-to-end:
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- Implementation
- Testing
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- Iteration based on user feedback
What We Expect From You
You must:
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- AI for debugging, scaffolding, refactoring
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- Rapid prototyping
- Be comfortable with at least one programming language (Python, TypeScript, JS, etc.)
- Have strong critical thinking
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- You think about edge cases
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- Be high agency
- You don’t wait for step-by-step instructions
- You proactively propose solutions
- You take ownership of outcomes
- Be able to learn fast on the job
Help will be provided but you will not be spoonfed.
Absolute Requirement (Non-Negotiable)
If you have not built any side projects with a visible output, you will most likely be rejected.
We expect at least one of:
- A deployed web app
- A GitHub repo with meaningful commits
- A working AI tool
- A live demo link
- A product you built and shipped
- An agent, automation, bot, or workflow you created
Bonus Points (Strong Signals)
These are not required but will strongly differentiate you:
- Built projects using:
- LLM APIs (OpenAI, Anthropic, etc.)
- LangChain / LlamaIndex / custom agent frameworks
- Vector DBs like Pinecone, Weaviate, FAISS
- RAG systems
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- Built internal tools for a team before
- Strong product intuition (you care about UX, not just code)
- Experience automating your own workflows using scripts or AI
What You’ll Gain
You will get:
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- Ownership over production systems
- Deep exposure to:
- AI architecture
- Product thinking
- Iterative engineering
- Tradeoffs (cost vs latency vs accuracy)
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- A strong shot at long-term roles based on performance
If you perform well, you won’t leave with a certificate, you'll leave with real-world building experience.
Who This Is Perfect For
- People who already build things for fun
- People who automate their own life with scripts/tools
- People who learn by shipping
- People who prefer responsibility over structure
- People who are excited by ambiguity
Who This Is Not For
Be honest with yourself:
- If you need step-by-step instructions
- If you avoid open-ended problems
- If you’ve never built anything outside assignments
- If you dislike using AI tools while coding
This will be frustrating for you.
How To Apply
Send:
- Your GitHub
- Links to projects (deployed preferred)
- A short note explaining:
- What you built
- Why you built it
- What you’d improve if you had more time
Strong portfolios beat strong resumes.
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