Trade Support Specialist

This position supports trading operations by ensuring the accurate processing, reconciliation, and settlement of financial transactions. The role focuses on maintaining operational integrity across trade lifecycles while partnering with internal and external stakeholders to minimize risk and ensure data accuracy.

The individual will also contribute to improving and automating operational workflows through collaboration with technical teams.

Mandatory Requirements

0–3 years of professional experience (entry-level candidates or recent graduates considered)

Bachelor’s degree (quantitative or analytical field preferred)

Proficiency in SQL and Python

Strong analytical and problem-solving capabilities

Ability to communicate clearly with both technical and non-technical stakeholders

Demonstrated ability to work both independently and in a team environment

Key Responsibilities
Trade Operations & Settlement

Manage the end-to-end lifecycle of trade processing, including clearance, settlement, and reconciliation

Ensure accuracy of transaction records and resolve discrepancies in a timely manner

Coordinate with external partners such as brokers, custodians, and clients to facilitate trade settlement

Reconciliation & Risk Mitigation

Perform daily reconciliations of trades and positions to ensure data consistency

Identify and resolve breaks to prevent operational or financial risk

Maintain accurate books and records across systems

Stakeholder Collaboration

Work closely with internal teams including trading, finance, compliance, and technology

Communicate issues, updates, and resolutions effectively across stakeholders

Process Improvement & Automation

Partner with engineering teams to enhance and automate operational workflows

Analyze existing processes and identify opportunities for efficiency and scalability

Contribute to the development of tools, controls, and system enhancements

Data Analysis & Reporting

Perform data analysis to support operational insights and decision-making

Assist with ad hoc reporting and investigation of operational issues

Required Qualifications

Strong foundation in data analysis and technical problem-solving

Experience or familiarity with SQL and Python for data manipulation and analysis

High attention to detail and accuracy in handling data

Ability to manage multiple tasks in a fast-paced environment

Strong interpersonal and communication skills

Preferred Qualifications

Academic background in business, finance, economics, engineering, or a related field

Exposure to financial markets, trading operations, or transaction processing

Interest in automation, systems design, or workflow optimization

Why Join This Team / Organization Summary
This role provides an opportunity to work at the intersection of operations and technology within a fast-paced environment. The position offers exposure to trading workflows, data analysis, and system improvement initiatives, with opportunities to build both technical and operational expertise.

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