The company is on a mission to give people more from their money by providing visibility, control, and freedom. Since its inception in 2015, the company has grown to over 75 million customers with a wide range of financial products including spending, saving, investing, and exchanging. The company has been recognized as a Great Place to Work™ and prides itself on its employee experience and culture.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
The Wealth & Trading team is redefining investment processes by making smarter financial decisions accessible through data-driven tools. As a Senior Fixed Income Research Analyst, you will lead the development of systematic predictive models for corporate bonds and credit default swaps, and design optimal execution and basket-selection strategies.
Responsibilities:
- Lead the development of systematic predictive models and strategies for corporate bonds and credit default swaps.
- Integrate macroeconomic trends and sector-specific insights into the portfolio engine.
- Design and implement fixed income portfolio construction and optimization frameworks.
- Collaborate with engineers to design, test, and refine algorithms for automated execution workflows.
- Conduct hypothesis testing and backtesting to validate model accuracy, performance, and transaction costs.
- Manage practical execution specifics, including liquidity sourcing, market impact, and transaction costs.
- Ensure compliance with regulatory standards, portfolio risk limits, and financial promotions.
Requirements:
- 5+ years of experience in quantitative investment research and systematic portfolio construction for fixed income.
- In-depth understanding of corporate credit market microstructure and OTC bond liquidity constraints.
- Solid knowledge of quantitative and statistical tooling for systematic investment decisions.
- Advanced programming skills in Python and its scientific data stack.
- Proven track record in transaction cost analysis, tracking error modeling, and risk attribution.
- Educational background in STEM.
Nice to Have:
- Experience in designing long-short strategies or execution specifics for systematic bond portfolios.
- Familiarity with the ETF ecosystem, index replication methodologies, and basket optimization.
- CFA qualification or significant progress towards certification.
The company values diversity and encourages applicants from various backgrounds to join their multi-cultural team. This commitment helps drive exceptional and innovative products and services for their customers.
