Quant Trading Analyst

TMGM

Sydney

2 days ago

Sydney

2 days ago

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Quant Trading Analyst

TMGM is seeking a Quant Trading Analyst to join its Systematic Market Making team in Sydney. The role involves trading operations automation, reporting infrastructure development, and data analytics. Requires strong Python and SQL skills, with 1-2 years experience or recent graduate in quantitative field.

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Hybrid

Full-time

Entry Level

Python

Pandas

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Experience Required

2 years

Employment Type

Full-time

Experience Level

Recent graduate or 1-2 years experience

Core Qualifications

Technical (Must-have)

PythonpandasNumPySQLdata manipulation

Soft Skills

problem-solvingattention to detail

Preferred Qualifications

Technical (Nice-to-have)

ETLFinancial time-series dataFXCFDCrypto

Tools (Nice-to-have)

production monitoring tools

Key Responsibilities

•Automate daily operational workflows across trading and risk functions
•Develop and maintain scripts to improve efficiency and reduce manual processes
•Support monitoring tools for pricing, hedging, exposure, and execution quality
•Improve robustness and reliability of trading-related systems
•Design, develop, and maintain reporting frameworks for trading performance, risk exposure, and liquidity metrics
•Build scalable and maintainable data pipelines
•Ensure data integrity and accuracy across reporting systems
•Contribute to ad-hoc analysis requests from traders and senior management
•Transform raw trading and market data into structured, usable datasets
•Extract insights to support pricing optimization and hedging efficiency
•Analyze client flow, spread performance, slippage, and inventory behavior
•Assist in research projects by preparing and validating datasets
•Heavy use of Python for analytics, automation, and data processing
•Extensive use of SQL for querying large trading databases
•Work with time-series data across multiple asset classes
•Continuously improve internal research and reporting tooling

Quantitative AnalyticsPythonSQLTrading SupportData AnalyticsAutomationFinancial ServicesSystematic Market MakingEntry Level

Key Responsibilities

•Automate daily operational workflows across trading and risk functions

•Develop and maintain scripts to improve efficiency and reduce manual processes

•Support monitoring tools for pricing, hedging, exposure, and execution quality

•Improve robustness and reliability of trading-related systems

•Design, develop, and maintain reporting frameworks for trading performance, risk exposure, and liquidity metrics

•Build scalable and maintainable data pipelines

•Ensure data integrity and accuracy across reporting systems

•Contribute to ad-hoc analysis requests from traders and senior management

•Transform raw trading and market data into structured, usable datasets

•Extract insights to support pricing optimization and hedging efficiency

•Analyze client flow, spread performance, slippage, and inventory behavior

•Assist in research projects by preparing and validating datasets

•Heavy use of Python for analytics, automation, and data processing

•Extensive use of SQL for querying large trading databases

•Work with time-series data across multiple asset classes

•Continuously improve internal research and reporting tooling