Fullerton Fund Management Company Ltd – Intern, Multi-Asset

Company
Fullerton Fund Management Company Ltd
fullerton.com.sg
Designation
Intern, Multi-Asset
Date Listed
31 Mar 2021
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Immediate Start, For At Least 6 Months
Profession
Banking / Finance
Industry
Finance
Location Name
Fraser Street, DUO Tower, DUO
Work from Home
Address
3 Fraser St, Tower Level 08-21, DUO 189352
Map
Allowance / Remuneration
$800 - 1,500 monthly
Company Profile

Fullerton Fund Management (“Fullerton”) values robust relationships, focusing on optimising investment outcomes and enhancing investor experience, to suit the unique needs of our clientele. We believe in building relationships to deliver exceptional experience, inspiring trust through stewardship and investment excellence, and generating value through innovative and sustainable solutions.

We help clients, including government entities, sovereign wealth funds, pension plans, insurance companies, private wealth and retail clients to achieve their investment objectives. We offer investment solutions that span equities, fixed income, multi-asset, alternatives and treasury management, while also focusing on investment insights, performance and risk management.

Incorporated in 2003, Fullerton is headquartered in Singapore, and has associated offices in Shanghai, London and Brunei. Fullerton is part of a multi-asset management group, Seviora, a holding company established by Temasek. NTUC Income, a leading Singapore insurer, is a minority shareholder of Fullerton.

Job Description

Key Duties and Responsibilities

  • Work closely with the team to expand on the team’s quantitative framework, driven by machine learning techniques.
  • Specific attention to country and sector allocation for Equities and Fixed Income
  • Develop framework from ground up, involving data gathering, data ingestion and feature engineering.
  • Investigation of range of quantitative methods, from simple regression to machine learning based solutions
  • Aim to deliver comprehensive final output involving back-testing, signal generation and visualization of results.
  • This output has to complement and be compatible with the team’s existing quantitative framework, and easily handed over at the end of the internship.

Experience and Skills

  • Excellent skills in Python Programming, Data Visualization in plotly or matplotlib, Machine Learning Toolkits such as scikit learn
  • Good skills in Excel, PowerPoint and Word
  • Strong ability to articulate quantitative methods and output to a non-specialist audience
  • Experience in using industry standard data providers like Bloomberg and Factset will be preferred.
  • Ability to work well in a team environment
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