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For Companies At a Glance
- Tasks: Join a dynamic team to design and maintain market-making algorithms and automated systems.
- Company: Citi is a leading global bank with a focus on innovation and entrepreneurship.
- Benefits: Enjoy a start-up culture, continuous learning, and opportunities for growth in a fast-paced environment.
- Why this job: Contribute to cutting-edge projects in algorithmic trading while collaborating with traders and quants.
- Qualifications: PhD or M.A./M.S. in a quantitative field; strong programming skills in Python required.
- Other info: This role offers exposure to all aspects of the business and values creativity and ownership.
The predicted salary is between 54000 - 84000 £ per year.
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
Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries (“Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi .
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Credit Algo Quantitative Analyst, VP employer: Citigroup Inc.
Contact Detail:
Citigroup Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Algo Quantitative Analyst, VP
✨Tip Number 1
Familiarize yourself with the latest trends in algorithmic trading and market making, especially in the context of credit markets. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the quantitative finance space, particularly those who work in algorithmic trading. Engaging with them can provide insights into the company culture at Citi and may even lead to referrals.
✨Tip Number 3
Brush up on your programming skills, especially in Python and KDB/q. Consider working on personal projects or contributing to open-source projects that showcase your technical abilities and creativity.
✨Tip Number 4
Prepare to discuss your past experiences in quantitative analysis and how they relate to the responsibilities of this role. Be ready to share specific examples of projects where you took ownership and drove results.
We think you need these skills to ace Credit Algo Quantitative Analyst, VP
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Credit Algo Quantitative Analyst position. Understand the key responsibilities and required skills, especially in areas like financial engineering, machine learning, and programming in Python.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in algorithmic trading, statistical analysis, and any projects that showcase your programming skills in Python and KDB/q. Be specific about your contributions and outcomes.
Showcase Your Creativity: Since the role values creativity and entrepreneurship, include examples of how you've taken ownership of projects or contributed innovative ideas in previous roles. This will demonstrate your fit for the start-up culture of the desk.
Tailor Your Application: Customize your application materials to reflect the language and priorities mentioned in the job description. Use keywords related to algorithmic market making, data science, and quantitative analysis to make your application stand out.
How to prepare for a job interview at Citigroup Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills, especially in Python, KDB/q, and SQL. You might be asked to solve technical problems or explain your previous projects, so having specific examples ready will help demonstrate your expertise.
✨Demonstrate Your Creativity and Ownership
Since the role values entrepreneurship and idea generation, think of instances where you took ownership of a project. Be ready to share how you approached challenges creatively and what impact your contributions had on the outcome.
✨Prepare for Statistical Analysis Questions
Expect questions related to statistical analysis and back-testing. Brush up on your knowledge of data science and statistical modeling, and be ready to discuss methodologies you've used in past projects.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex concepts in simple terms, as you will need to collaborate with traders and other stakeholders. Being able to convey your ideas clearly will set you apart.
