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MQA Credit Algorithmic Market making Quant - VP level

CITI

New York (NY)

On-site

USD 175,000 - 250,000

Full time

15 days ago

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Job summary

Join a forward-thinking company as a Quantitative Analyst in a dynamic and fast-paced environment. In this role, you will design innovative data-driven trading strategies while collaborating closely with traders and technology professionals. Your expertise in statistical and machine learning techniques will be crucial in enhancing client services and driving performance in the credit space. This position offers a unique opportunity to work in a supportive team that values transparency and meritocracy, making a significant impact on the firm's P&L. If you're passionate about quantitative analysis and thrive in a results-oriented culture, this is the perfect opportunity for you.

Benefits

Medical Coverage
Dental Coverage
Vision Coverage
401(k) Plan
Life Insurance
Accident Insurance
Disability Insurance
Wellness Programs
Paid Time Off
Paid Holidays

Qualifications

  • 6-10 years of experience in quantitative modeling or analytics.
  • Strong programming skills in Python and SQL.

Responsibilities

  • Design data-driven trading strategies in credit algo trading.
  • Create and support quantitative models for electronic trading.

Skills

Statistical Techniques
Machine Learning
Python
SQL
C++
C#
Java
JavaScript
Attention to Detail
Communication Skills

Education

Master's Degree
PhD

Job description

In Markets Quantitative Analysis (MQA), we hire strategic professionals who stay abreast of developments within their own field. Being intellectually curious, they contribute to the firm's directional strategy by being proactive and forward-thinking. Quant analysts are the recognized technical authority for an area within the business. They strive to implement thorough solutions that affect the overall performance of their asset class.

In this specific role, you will be designing data-driven trading strategies in credit algo trading. This is a fast-paced ever-evolving front-office environment that requires meticulous planning and delivery. As such, you will need effective communication skills to tactfully influence and convince partners. In addition to the prerequisite quantitative skills, a strong business acumen is required to be able to translate business problems into quantitative ones.

If you meet the qualifications, we want to hear from you! You'll be joining a highly collaborative and supportive team in MQA, promoting a transparent and meritocratic work culture. Our innovative and entrepreneurial spirit has been celebrated in the MQA-wise innovation forum every year since inception. At the same time, we are pragmatic and results-oriented as we know that our impact can only be measured in the P&L that we help generate.

Responsibilities:

  • As part of the Spread Products quant team, work closely with Quant Traders, Sales and Technology professionals in Spread Products with a primary focus in the credit space to build analytics and processes that enhance the way we service clients

  • Create, implement, and support quantitative models for the credit electronic trading business leveraging a combination of meticulous data analysis, traditional statistical reasoning, and advanced machine learning techniques

  • Diligently architect and manage the evolution of the code base, including collaborating with other teams to maximize scale and leverage across the organization


Qualifications:

  • Demonstrated experience applying statistical and/or machine learning techniques in financial markets

  • Strong technical/programming skills using advanced object-oriented designs and highly-performing coding algorithms: Python, SQL desired. kdb+/q, C++, C#, Java and JavaScript are nice to have

  • Sound asset class pricing fundamentals for one of the following: fixed income (preferred), equities, FX, or commodities

  • Proficiency in macroeconomic fundamentals and electronic market microstructure

  • Extreme attention to details and genuine interest in gaining intimacy with the different quant trading datasets. Ability to manipulate and analyze complex, large scale, high dimensional data from varying sources

  • Clear and concise written and verbal communication skills. Ability to communicate complex problems to the relevant stakeholders

  • 6-10 years of experience in a comparable quantitative modeling or analytics role, ideally in the financial sector


Education:

  • Master's/PhD degree in a quantitative field preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Institutional Trading

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Job Family:

Quantitative Analysis

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Time Type:

Full time

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Primary Location:

New York New York United States

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Primary Location Full Time Salary Range:

$175,000.00 - $250,000.00


In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Anticipated Posting Close Date:

Apr 02, 2025

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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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