Quantitative Analyst

Arkbridge Pte Ltd

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

3 days ago
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Job summary

ArkBridge Pte Ltd seeks a Quantitative Analyst to build and optimise models powering internal analytics and trading strategies. You will work with large datasets and complex systems to extract actionable insights.

Responsibilities include designing, implementing, and testing financial models; analysing trade performance and market behaviour; collaborating with product and trading teams to develop tools; and automating reporting and backtesting processes.

Qualifications

  • Degree in mathematics, physics, statistics, finance, or related field.
  • Proficiency in Python, R, or MATLAB.
  • Experience working with market or trading data.
  • Strong analytical and problem-solving skills.
  • Understanding of derivatives and risk models is a plus.

Responsibilities

  • Design, implement, and test financial models
  • Analyse trade performance and market behaviour
  • Collaborate with product and trading teams to develop tools
  • Clean and manipulate large data sets
  • Automate reporting and backtesting processes

Skills

Analytical skills
Problem solving
Trading data

Education

Bachelor's in Mathematics/Physics/Statistics/Finance

Tools

Python
R
MATLAB

Job description

Description

As a Quantitative Analyst, you will build and optimise models that power ArkBridge’s internal analytics and trading strategies. You’ll work with large datasets and complex systems to extract actionable insights.


Responsibilities

Design, implement, and test financial models


Analyse trade performance and market behaviour


Collaborate with product and trading teams to develop tools


Clean and manipulate large data sets


Automate reporting and backtesting processes


Requirements

Degree in mathematics, physics, statistics, finance, or related field


Proficiency in Python, R, or MATLAB


Experience working with market or trading data


Strong analytical and problem-solving skills


Understanding of derivatives and risk models is a plus

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