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Valuations and Product Control Intern

Valuations and Product Control Intern

arrowpoint investment partners
Fresher
Not Disclosed
Early Applicant
  • Posted 3 days ago
  • Be among the first 10 applicants

Job Description

Arrowpoint is seeking a talented intern to join the firm's Platform team in the Valuations function. You will learn independent valuation and P&L control on the job, while building and deploying the automation and AI tools the team uses.

Location: Singapore

Core Responsibilities

  • Support the daily review and validation of P&L reports for the Portfolio Managers and Management.
  • Assist with daily reconciliation of valuations and P&L across Orchestrade, Arcesium and Flex, and help investigate breaks.
  • Assist with intra-month and monthly valuation reconciliations between Portfolio Manager, Fund Administrator, and Counterparty / Independent Source, and with the month-end valuation sign-off.
  • Learn how derivatives across FX, Rates, Equity and Credit are priced, and how valuation sources and models are validated.
  • Document processes and controls so others can run them.

Technology Responsibilities

  • Build, test and deploy Python tools and data pipelines that automate valuation, P&L, reconciliation and sign-off tasks.
  • Build and deploy AI applications and agents (LLM-based workflows using prompting, retrieval and tool use) for valuation and control tasks, with evaluation and audit trail built in.
  • Work with Orchestrade, Arcesium, Flex and Bloomberg data through APIs and databases.
  • Write clean, documented, version-controlled code that others can run and audit.
  • Own a defined project from design to deployment and present the results to the team.

Requirements

  • Currently pursuing or having completed a degree in Computer Science, Engineering, Mathematics, Financial Engineering, Finance, Economics or a related quantitative field, and available to work full-time from December 2026.
  • Strong Python and SQL, shown through projects, internships, hackathons or open-source work. Familiarity with Git and testing.
  • Hands-on experience building with LLMs or AI tools (for example prompt engineering, retrieval, agents or tool use), through coursework or personal projects.
  • Genuine interest in financial markets and derivatives.
  • Proficient in MS Excel.
  • Analytical, structured, intellectually curious, and resourceful in problem-solving, with a control mindset.
  • Self-driven and quick to learn.
  • Strong inter-personal and communication skills.
  • Hours may extend beyond standard office hours around month-end and valuation sign-off.

Nice to Have

  • Coursework in derivatives pricing, fixed income or stochastic calculus.
  • Exposure to APIs, data pipelines, cloud deployment or Bloomberg.

More Info

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Key Skills

AI tools

data pipelines