Fixed Income Analyst

Infotek Consulting Inc.; Toronto; On-site; CAD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a detail-oriented Fixed Income Operations & Data Analyst to enhance their capital markets operations. This role involves overseeing high-volume fixed income transactions and utilizing data analytics to drive insights and process improvements. The successful candidate will collaborate with various teams, ensuring operational accuracy while leveraging tools like SQL, Power BI, and Tableau for data analysis. Join a dynamic team that values precision and continuous improvement, where your contributions will directly impact business decisions and operational efficiency. If you have a passion for finance and data, this opportunity is perfect for you.

Qualifications

• 1-3 years of experience in financial operations and/or data analytics.
• Strong technical skills in SQL, Power BI, Tableau, and Python.

Responsibilities

• Oversee end-to-end processing of fixed income transactions ensuring timely settlements.
• Use SQL and Power BI to analyze performance data and create visual reports.

Skills

Attention to Detail

Organizational Skills

Time Management

Data Analysis

Communication Skills

Education

Bachelor’s degree in Actuarial Science

Bachelor’s degree in Mathematics

Bachelor’s degree in Statistics

Tools

SQL

Power BI

Tableau

Python

R

SAS

Job description

Job Title: Fixed Income Operations & Data Analyst

Location: Toronto, Ontario

Position Type: Full-Time

Employer: Infotek Consulting Services

Job Summary:

We are seeking a detail-oriented and analytical Fixed Income Operations & Data Analyst to join our team. The successful candidate will play a key role in supporting capital markets operations—monitoring trade transactions, ensuring accurate settlements, and working across functional teams—while also applying data analytics skills to drive performance insights and process improvements. This role requires both operational precision and the ability to draw actionable conclusions from complex datasets.

Key Responsibilities:

Fixed Income Operations:

• Oversee end-to-end processing and validation of high-volume fixed income transactions, including bonds, T-bills, and other debt instruments, ensuring timely and accurate settlement across global markets.
• Prioritize and manage critical tasks under tight intraday deadlines to prevent trade failures and uphold regulatory and market compliance.
• Liaise with trading desks, custodians, clearing houses, and counterparties to reconcile discrepancies, confirm trade details, and ensure smooth settlement flows.
• Investigate and proactively resolve trade breaks or settlement issues, minimizing financial exposure and operational risk.
• Maintain a deep understanding of fixed income product structures, lifecycle events, and trade booking conventions to ensure operational accuracy.
• Collaborate with internal teams to streamline trade workflows, automate manual processes, and enhance data integrity across platforms.
• Actively participate in post-trade exception management, reporting, and root cause analysis to drive continuous improvement.
• Support the implementation of best practices and internal controls in collaboration with operations leads and compliance teams.
• Contribute to cross-functional initiatives involving data quality, reconciliation, and fixed income reporting tools.

Data Analytics:

• Use tools such as SQL, Power BI, and Tableau to analyze sales and performance data, identify key trends, and create dashboards and visual reports.
• Conduct predictive and diagnostic analytics to inform business decisions and operational improvements.
• Present findings to stakeholders and leadership, supporting strategic decisions based on revenue, profitability, and engagement metrics.
• Apply statistical techniques (e.g., ARIMA, regression, clustering) and machine learning algorithms to support forecasting and automation initiatives.

Qualifications:

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related quantitative discipline.
• 1–3 years of experience in financial operations and/or data analytics.
• Strong technical skills in:
• Excel (advanced formulas, pivot tables)
• SQL
• Power BI
• Tableau
• Python and/or R
• SAS (optional)
• AI/ML models, ARIMA, time series analysis (asset)

Key Competencies:

• Excellent attention to detail with strong organizational and time-management skills.
• Proven ability to work independently in a high-pressure, deadline-driven environment.
• Strong verbal and written communication skills.
• Ability to translate complex data into actionable insights.
• Team-oriented with a continuous improvement mindset.

Work Environment:

This position is based in Toronto, Ontario, and may involve hybrid work arrangements (subject to business needs). Standard working hours apply, with occasional flexibility required during peak operational periods.