Deutsche Bank is looking to hire a senior quant researcher to focus on automated electronic trading of Municipal bonds, with the goal of improving automated pricing, trading, and hedging for Municipal bonds in both customer and interdealer markets.
Requirements
- Experience of quantitative analysis, trading or research including subjects such as pricing and risk management for liquid financial markets
- Experience in UST bonds and government bond futures and understanding of the institutional bond market is an advantage
- A good understanding of cross-asset cash and derivative products, across markets and the skills to solve complex business problems
- Strong computing and programming (coding) skills and experience, utilizing programming languages such as KDB/q and Python/R, with algo coding skills desirable (Java or C++)
- Experience in municipal bonds and municipal derivatives and understanding of the institutional bond market is an advantage
- Relevant analytical and numerate education such as a Bachelor of Science (BSc)/Master of Science (MSc)/Doctor of Philosophy Degree (PhD) or the equivalent work experience or qualifications
- Excellent presentational skills
Responsibilities
- Working as part of interest rates quant team on all aspects of electronic and automatic trading strategy including customer, competitor and market analysis, algorithm design and implementation, voice trader partnership
- Performing quantitative data analysis, model building and subsequent optimization of pricing and risk management for the client franchise
- Supervision of algorithm bookrunners, continuous optimization of algo hyperparameters and trading models
- Ensuring compliance with all relevant regulatory aspects of the e-trading business
- Working with partners across the Bank including engineering and technology, voice trading, and the broad quantitative trading community to further develop the capabilities of the platform
- Ensuring that the reasoning, thought process and investigation behind all work is well understood and agreed upon
- Algorithm design and implementation
Other
- Positive and pragmatic can-do attitude in all scenarios, from taking the initiative as a proactive self-starter, to working well with others in a highly collaborative team
- Able to articulate ideas confidently and concisely to enable effective communication across multiple teams and functions
- Relevant analytical and numerate education such as a Bachelor of Science (BSc)/Master of Science (MSc)/Doctor of Philosophy Degree (PhD) or the equivalent work experience or qualifications
- Hybrid working model, allowing for in-office / work from home flexibility
- Generous vacation, personal and volunteer days
