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Phd Algorithmic Trading Jobs (NOW HIRING)

Qenexus

Quantitative Trader - Equity

Manhattan, NY · On-site

Designing, implementing, and deploying trading algorithms * Exploring trading ideas by analyzing ... A Bachelor's, Master's, or PhD degree from a top-tier university in Mathematics, Statistics ...

Invesco

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

... or algorithmic trading research. Responsibilities of the Role: * Investigate the properties of ... MSc or PhD in STEM major such as statistics, mathematics, computer science, computational physics ...

Invesco

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

... or algorithmic trading research. Responsibilities of the Role: * Investigate the properties of ... MSc or PhD in STEM major such as statistics, mathematics, computer science, computational physics ...

Invesco

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

... or algorithmic trading research. Responsibilities of the Role: * Investigate the properties of ... MSc or PhD in STEM major such as statistics, mathematics, computer science, computational physics ...

Anson McCade

Index Trader

Chicago, IL · On-site +1

... algorithmic trading models from ideation through production deployment • Analyze market ... BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance ...

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Phd Algorithmic Trading information

What are the key skills and qualifications needed to thrive as a PhD Algorithmic Trading professional, and why are they important?

To thrive as a PhD Algorithmic Trading professional, you need advanced quantitative skills, a deep understanding of financial markets, and a PhD in a quantitative field like mathematics, physics, or computer science. Expertise in programming languages such as Python, C++, R, and experience with statistical modeling tools, machine learning frameworks, and trading platforms are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in cross-functional teams and adapt to fast-changing markets. These skills are crucial for designing robust trading algorithms, managing risk, and maintaining a competitive edge in the financial industry.

What types of projects or research initiatives are PhD-level Algorithmic Trading professionals typically involved with on a daily basis?

PhD-level professionals in algorithmic trading often work on developing, testing, and refining quantitative trading strategies using advanced statistical, mathematical, and machine learning models. Their daily tasks may include analyzing large datasets, implementing and optimizing algorithms, and collaborating with traders, data scientists, and software engineers to integrate models into live trading environments. They are also involved in ongoing research to identify new trading opportunities, adapt to changing market conditions, and ensure robust risk management. This dynamic environment offers continuous learning and the chance to see the direct impact of their work on trading performance.

What is a PhD in Algorithmic Trading?

A PhD in Algorithmic Trading is a doctoral degree focused on the study and development of automated trading systems that use algorithms to execute trades in financial markets. Researchers in this field apply advanced mathematical, statistical, and computational techniques to analyze market data, design trading strategies, and optimize performance. Graduates often work in quantitative finance, hedge funds, investment banks, or academia, specializing in areas such as machine learning, data analysis, and financial engineering.

What is the difference between Phd Algorithmic Trading vs Quantitative Researcher?

AspectPhd Algorithmic TradingQuantitative Researcher
Required CredentialsPhD in Finance, Computer Science, or related fieldsPhD or Master's in similar fields
Work EnvironmentTrading firms, hedge funds, proprietary trading desksFinancial institutions, hedge funds, research labs
Employer & Industry UsageHigh-frequency trading, market-making, proprietary tradingModel development, risk analysis, strategy research
Common Search & Comparison IntentUnderstanding roles in trading strategies and executionResearch focus, model development, data analysis

While both roles require advanced degrees and analytical skills, Phd Algorithmic Traders focus on developing and implementing trading algorithms in live markets, often working directly within trading firms. Quantitative Researchers primarily focus on developing models and strategies for investment or risk management, often in research or analytics departments. The roles overlap in skills but differ in application and environment.

Infographic showing various Phd Algorithmic Trading job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, 8% Part Time, and 25% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.
Equities Algorithmic Trading Quantitative Analyst, Vice President, MQA

Equities Algorithmic Trading Quantitative Analyst, Vice President, MQA

Citigroup, Inc.

New York, NY • On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

The Algorithmic Trading Quant team is part of Citi Global Markets and is responsible for the research, design, implementation and maintenance of Equities Execution Algorithms and related Trading Products offered to Citi's institutional clients and internal trading desks. The team collaborates with global teams and works with specific focus on North America and LATAM markets.
Development Value:
As an opportunity to work in a fast-paced environment and as a member of a quant group that develops cutting-edge algorithmic trading strategies, this position offers the opportunity to combine strong quantitative, technical and soft skills to foster innovation in a collaborative team culture. It is an opportunity to be involved in challenging new initiatives, learn the latest developments in the Electronic Trading domain and be part of Citi's growing Equity Trading franchise.
Responsibilities:
  • Improve existing Trading Algorithms by being able to perform both model research and implementation work with the objective of providing best in class execution performance.
  • Research and analyze ideas for enhancing existing and developing new algorithms (such as liquidity seeking), models (such as market impact model) and short term predictive signals (such as fair value).
  • Perform analysis of large data sets comprising of market data, orders, executions and derived analytics.
  • Implement algorithm enhancements and client customization requests with production quality code.
  • Design and implement unit test and regression test case for changes made in the strategy code.
  • Enhance the trading model development and simulation frameworks.
  • Apply best practices towards developing modular, reusable, robust trading components and strategy code.
  • Support client algorithmic trading enquiries and assist with performance analysis & tuning.
  • Work in close partnership with Coverage desk, Technology teams and control functions such as Legal, Compliance & Audit in order to ensure appropriate governance and control infrastructure
  • Build a culture of responsible finance, good governance and supervision, expense discipline and ethics.
  • Be familiar with and adhere to Citi's Code of Conduct and the Plan of Supervision for Global Markets and Securities Services; and ensure that all team members understand the need to do the same.
  • Adhere to all policies and procedures as defined by your role which will be communicated to you.
  • Obtain and maintain all registrations/licenses which are required for your role, within the appropriate timeframe.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Knowledge/Experience:
  • Good understanding of US Equity Algorithmic Trading and Market Microstructure.
  • Minimum 5 years of experience in trading environment of which minimum 3 years should be in research and development of agency execution algorithms, smart order routing strategy, liquidity seeking strategies, market making strategies or high frequency trading strategies.
  • Experience applying statistical modelling and machine learning towards analysis of large data sets.
  • Experience with Predictive signal, Market Impact and Optimal Trading schedule models are desirable.
  • Strong programming and software design skills in Java. Minimum of 3 year of software development experience is required. Experience with low latency and/or high performance systems are desired. Strong candidates with experience in other object oriented languages such as C++ will also be considered.
  • Strong analytical and quantitative skills and experience using with statistical programming languages such as Python or R.
  • Experience with Q/KDB or time series databases is desirable.
  • Good communication skills, both verbal and written.
  • Ability to juggle multiple tasks and projects in a fast paced work environment.

Qualifications:
  • Masters or PhD in Finance, Mathematics, Engineering, Computer Science or related field
  • Applicable licenses: Will be required to either already have or apply upon arrival for Series 7 and 63.

Job Family Group:
Institutional Trading
Job Family:
Quantitative Analysis
Time Type:
Full time
Primary Location:
New York New York United States
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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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