1

Python Quantitative Algorithmic Trading Jobs in Belmar, NJ

Strong Python skills - you have 1-3 years of experience coding in Python, be that through work ... Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but ...

... algorithmic trading strategies? We're looking for someone to analyze, adapt and improve the ... Python or equivalent • experience analyzing tick series market data via KDB / Onetick and ...

Strong Python skills - you have 1-3 years of experience coding in Python, be that through work ... Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but ...

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... and R/Python capabilities and experience in execution analytics, TCA, or algorithmic trading ...

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... and R/Python capabilities and experience in execution analytics, TCA, or algorithmic trading ...

... implement a trading strategy in Python. Your algorithmic strategy will connect directly to ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

... implement a trading strategy in Python. Your algorithmic strategy will connect directly to ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

The role involves the design, development, and support of algorithmic trading models across U.S ... Strong programming skills (Proficiency in Python, object-oriented languages) * Experience in time ...

next page

Showing results 1-20

Python Quantitative Algorithmic Trading information

See Belmar, NJ salary details

$103.5K

$179.3K

$274.2K

How much do python quantitative algorithmic trading jobs pay per year?

As of Aug 11, 2026, the average yearly pay for python quantitative algorithmic trading in Belmar, NJ is $179,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,100.00 and $210,300.00 per year, depending on experience, location, and employer.

What is the difference between Python Quantitative Algorithmic Trading vs Python Quantitative Trading Analyst?

AspectPython Quantitative Algorithmic TradingPython Quantitative Trading Analyst
CredentialsDegree in Computer Science, Finance, or related fields; coding certificationsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, coding, backtesting strategiesAnalyzing market data, supporting trading strategies, reporting
Industry UsageFinancial firms, hedge funds, proprietary trading firmsAsset management firms, trading desks, financial institutions

Python Quantitative Algorithmic Traders focus on designing and implementing automated trading algorithms using programming skills, while Python Quantitative Trading Analysts analyze data and support trading strategies without necessarily coding the algorithms themselves. Both roles require strong quantitative skills and familiarity with Python, but their daily tasks and responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Python quantitative algorithmic trader?

To thrive as a Python Quantitative Algorithmic Trader, you need strong quantitative analysis, programming expertise (especially in Python), and a solid background in mathematics, statistics, or finance, often supported by a relevant degree. Familiarity with financial data platforms, algorithmic trading systems, and libraries such as pandas, NumPy, and scikit-learn, as well as experience with backtesting frameworks, is essential. Critical thinking, attention to detail, and effective communication help you interpret data, manage risk, and collaborate with team members. These skills ensure effective strategy development, implementation, and adaptation in fast-moving financial markets.

What are some common challenges faced by Python quantitative algorithmic traders, and how can job seekers prepare to overcome them?

Python quantitative algorithmic traders often face challenges such as rapidly changing market conditions, ensuring code efficiency for low-latency execution, and maintaining data integrity across large datasets. Additionally, traders must continuously backtest strategies to avoid overfitting and adapt to evolving regulatory requirements. To prepare, job seekers should strengthen their coding skills with a focus on performance optimization, familiarize themselves with financial data handling, and stay current with industry best practices in both technology and trading strategy development.

What is Python quantitative algorithmic trading?

Python Quantitative Algorithmic Trading refers to the use of Python programming to develop, test, and implement mathematical models and automated strategies for trading financial instruments. Professionals in this field use quantitative analysis, statistical techniques, and historical data to create algorithms that can execute trades on financial markets without human intervention. Python is widely favored due to its robust libraries, ease of use, and strong community support, making it ideal for handling large datasets and rapid prototyping of trading strategies.
What cities near Belmar, NJ are hiring for Python Quantitative Algorithmic Trading jobs? Cities near Belmar, NJ with the most Python Quantitative Algorithmic Trading job openings:
Infographic showing various Python Quantitative Algorithmic Trading job openings in Belmar, NJ as of August 2026, with employment types broken down into 3% Internship, 86% Full Time, 3% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $179,326 per year, or $86.2 per hour.

Quantitative Analyst, Equities Algorithmic Trading, VP

Citigroup, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks


Job description

Citi's Markets Quantitative Analysis (MQA) group is seeking a highly skilled VP Quantitative Analyst to join its Equities team. This role is central to the research, design, implementation, and maintenance of cutting-edge Equities Execution Algorithms for Citi's clients and internal trading desks, with a specific focus on North America and LATAM markets. This position offers a unique opportunity to apply strong quantitative, technical, and soft skills to foster innovation within a collaborative team culture, directly impacting trading businesses, control functions, and the global client base.
Key Responsibilities
  • Algorithmic Development & Enhancement:
    • Design and develop new algorithms and strategies for the next generation equity trading platform initiative at Citi.
    • Research, design, and implement improvements for existing algorithmic trading strategies (e.g., VWAP, liquidity seeking).
    • Develop and enhance quantitative models, including optimal schedule, market impact models, and short-term predictive signals (e.g., fair value).
    • Implement algorithm enhancements and customizations with production-quality code, applying best practices for modular, reusable, and robust trading components.
  • Data Analysis & Modeling:
    • Perform in-depth analysis of large datasets comprising market data, orders, executions, and derived analytics.
    • Apply statistical modeling and machine learning techniques for data analysis and signal generation.
    • Conduct flow analysis and performance tuning for various client flows.
    • Provide data and analysis to support initial model validation and ongoing performance analysis.
  • Collaboration & Support:
    • Collaborate closely with traders, risk managers, product, sales, and technology teams to integrate quantitative tools into daily workflows and address complex client requests.
    • Provide quantitative support and expertise for new product development.
  • Risk Management & Compliance:
    • Design and execute backtesting frameworks to assess model performance and robustness under different market conditions.
    • Maintain comprehensive documentation of models, methodologies, and validation processes, ensuring adherence to internal standards and regulatory requirements.
    • Work in partnership with Risk & Control, Legal, Compliance & Audit teams to ensure appropriate governance and compliance with industry regulations.
    • Appropriately assess risk when making business decisions, safeguarding Citigroup, its clients, and assets, and escalating control issues with transparency.
    • Adhere to Citi's Code of Conduct, policies, and procedures, fostering a culture of responsible finance and ethics.

Required Qualifications & Skills
Education:
  • Advanced degree (Master's or Ph.D.) in a computer science or quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline preferred.

Experience:
  • Minimum 5 years of experience in trading or real time algorithm development, quantitative analysis or model development within a trading environment at a financial institution, with at least 3 years focused on research and development of agency execution algorithms, smart order routing strategies, liquidity seeking strategies, market making strategies, or high-frequency trading strategies.
  • Excellent grasp of algorithms and systems development, low latency and high performance computing experience desired.
  • Experience with Predictive signal, Market Impact, and Optimal Trading schedule models is desirable.

Technical Skills:
  • Strong analytical and quantitative skills with a solid understanding of stochastic calculus, probability theory, and statistical modeling techniques.
  • Programming, software design skills and Java experience desirable.
  • Strong programming skills in Python or R (statistical programming languages).
  • Experience with numerical libraries and data manipulation.
  • Experience with Q/KDB or other time series databases is desirable.

Licenses:
  • Will be required to either already possess or apply upon arrival for Series 7 and 63 licenses.

What Citi Offers
Joining Citi means becoming part of a global institution committed to fostering an inclusive and diverse workplace where talent thrives. We believe in providing an environment where everyone feels comfortable coming to work as their whole self, every day. As a Quantitative Analyst VP, you will be offered competitive compensation, comprehensive benefits, and a wealth of opportunities for professional development and career growth. You will have access to a vast array of learning resources and the chance to work alongside some of the brightest minds in the financial industry. We encourage our employees to continuously expand their skill sets, take on new challenges, and contribute to innovative solutions that shape the future of finance.
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:
Aug 09, 2026
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
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.

What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Citigroup Inc logo

About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US