Citi is looking to hire a Credit Algo Quant to sit within Citi’s European Credit Algorithmic Market Making Business, which spans across Single Line Bond Request for Quotes (RFQs), Automated Market Making, Portfolio Trading, Fixed Income ETF Market Making Credit and Rates, as well as Fixed Income ETF Creation Redemption Credit and Rates.
The successful candidate will play a key role in the continued build-out of our algorithmic and systematic trading capabilities. He will work with a team of 5+ quantitative analysts, 3 traders, and key stakeholders to continue the growth of the business and expansion to EM.
Key Responsibilities
The desk has a start-up culture where idea generation and entrepreneurship are highly valued. If you enjoy continuous learning in a highly dynamic market and taking full ownership for quant, technical, and business aspects, then this role provides a lot of opportunities for you to contribute from the ground-up.
Some key responsibilities include:
- Help design, implement, and maintain the market making algorithms and automated-response systems and further expand to EM.
- Run statistical analysis and perform back-testing on large datasets.
- Ad hoc data science and ML/AI projects.
- Development and maintenance of in-house python and q libraries.
Knowledge/Experience/Skills
- Most importantly, the candidate should be creative, entrepreneurial, and enjoy taking ownership of a project from start to finish.
- Candidate should have experience and training in one or more of the following areas: financial engineering, machine learning, portfolio optimization and optimization theory, and/or algo pricing/market making.
- Strong programming skills in python are required. Proficiency in KDB/q and SQL is a plus.
- Highly technical role; experience and/or training in data science and statistical modeling are required.
- The desk is closely integrated between traders, quants, and technologists and provides exposure to all aspects of the business. Business intuition and communication skills must be strong.
- The candidate must be practically minded.
Qualifications
- PhD. or M.A./M.S. in a quantitative discipline such as computer science, physics, engineering, or financial engineering is required.
Job Family Group:Institutional Trading
Job Family:Quantitative Analysis
Time Type:Full time
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