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Trading and Analytics Analyst

BERGE BULK SHIPPING PTE. LTD.

Singapore

On-site

SGD 80,000 - 100,000

Full time

Today
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Job summary

A leading shipping company in Singapore is seeking a Junior Analyst to join their Trading and Analytics team. This role involves maintaining supply and demand models, trade reconciliation, and ad hoc market analysis. Ideal candidates are commercially minded graduates with a passion for commodities and strong analytical skills. Experience in Python and Power BI is advantageous.

Qualifications

  • Bachelor's degree in quantitative discipline required.
  • 2-3 years of experience in banking or trading house appreciated.
  • Knowledge of Python and Power BI is a plus.

Responsibilities

  • Maintain and improve existing models.
  • Manage derivative positions against physical assets.
  • Develop reports in Power BI to monitor P&L and risk.

Skills

Passion for markets/commodities
Strong numbers background
Commercial mindset
Ability to learn programming/software quickly
Data analysis

Education

Bachelor’s degree or higher in a quantitative discipline

Tools

Python
Power BI
Job description
Overview

Purpose of the Job

The Trading and Analytics team is responsible for designing and maintaining an array of supply and demand models used for commercial decision making, namely, chartering, (fleet placement and trading strategy), asset-backed hedging decisions and proprietary trading. We are looking for a junior analyst to join our team. He or she will have a passion for markets/ commodities and data, and is a driven self-starter.

This is a multi-facted role; a combination of:

· model maintenance and development

· position management

· asset investment / business case & profitability analysis

· trade reconciliation

· ad hoc market analysis

· potentially trade execution

We are looking for a commercially minded graduate (or young professional who has been working for maximum 2-3 years) with an interest in Commodities and a strong numbers background.

Job Accountabilities/Key Responsibilities
  • Maintaining, improving and potentially owning existing models.
  • Position management; reconciling both derivative positions and derivative positions against physical assets (hedge)
  • Developing reports (in Power BI) to monitor P&L and risk for a multitude of positions / assets
  • Updating existing revenue stream models for assets
  • As well as helping to maintain the desks’ suite of models,
  • creating a roadmap for new models (defining inputs, variables, model scope) that identify forwards commodity flow trends
  • Drawing insights from the Desks’ models using them to present trading ideas and dynamic thoughts on traded markets.
  • Working with our Data Analyst to deliver models on the most efficient platform and code in the most efficient/ robust way.
  • Be excited by the prospect of being involved in ad hoc or new projects; for example, managing / creating position management platforms for environmental product trading, or any other new business-related venture.
Extension Responsibility
  • Execution trading
  • Proprietary trading
Main stakeholders
  • Head of Trading and Analytics
  • Lead Fundamental Analyst
  • Lead Data Analyst
  • Chartering Desk
  • Management

The successful candidate will liaise with all of the above on a regular basis.

Qualifications & Experience

A bachelor’s degree or higher in a quantitative discipline.

If an experienced hire: 2 to 3 years of experience working for a Bank or Trading house

Knowledge of Python and Power BI would be advantageous, or at least a Mathematics or programming background so as to be able to pick up new software/ languages

The successful candidate is:

  • Highly commercial
  • Highly driven
  • Hard working
  • Genuinely passionate about commodities, trading, and strategy
  • Self-driven, rather than being more disposed towards being prompted/ led, due to the highly commercially sensitive nature of the role and has a natural understanding of these requirements.
Travel

· The Analyst may, from time to time, be required to attend conferences, courses, client presentations/ meetings / engage with brokers and other counterparts

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