1

Python Quantitative Algorithmic Trading Jobs in Belmar, NJ

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Proficiency in programming with at least one of Rust or Python. * Comfortable working on Linux ...

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Proficiency in programming with at least one of Rust or Python. * Comfortable working on Linux ...

Quantitative Researcher

New York, NY ยท On-site

$190K - $250K/yr

... algorithmic trading business Below is a list of skills and experiences we think are relevant. Even ... Experience in programming (Python, R, Matlab, C++) * Excellent communication and collaborative ...

Quantitative Researcher

New York, NY ยท Hybrid

$190K - $250K/yr

... algorithmic trading business Below is a list of skills and experiences we think are relevant. Even ... Experience in programming (Python, R, Matlab, C++) * Excellent communication and collaborative ...

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... Strong Python skills - you have 1-3 years of experience coding in Python, be that through work ...

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... Strong Python skills - you have 1-3 years of experience coding in Python, be that through work ...

Design, build, optimize, and deploy state-of-the-art models and algorithms for systematic trading ... Proficiency in implementing models and algorithms in programming languages such as Python or C+

Showing results 41-60

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 Sep 1, 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 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 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 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 popular job titles related to Python Quantitative Algorithmic Trading jobs in Belmar, NJ?

For Python Quantitative Algorithmic Trading jobs in Belmar, NJ, the most frequently searched job titles are:

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.

Associate, Portfolio and Electronic Trading Analyst (New York, NY Hybrid work permissible). (mult...

Oppenheimer

New York, NY โ€ข Hybrid

$112K/yr

Full-time

Posted 5 days ago


Job description

Perform quantitative equity analysis on trading performance to improve trading strategies for equity trading desk. Build ad-hoc trading reports by performing database inquiries utilizing quantitative and statistical analysis skills. Build programmatically and maintain the trading analytics systems (financial models) for the Equity Portfolio Trading desk using Java/SQL/VBA/Python. Apply principles of economics and finance to assist in designing and implement quantitative models to engage in trading equity baskets for institutional clients. Provide real-time financial quantitative support to the equity portfolio trading desk. Hybrid work permissible.

Salary: $112,778 per year.

Requires a Masters degree or foreign equivalent in Finance, Statistics, Financial Engineering, or related field, and two years (24 months) in the job offered or any position in which the required experience was gained. Also requires two (2) years of work experience with: 1) implementing trading systems and optimizing speed and signaling within those systems using Java; 2) analyzing historical market data and building financial models for trading using Python and VBA; 3) querying and managing the historical and real-time market databases used for research and analysis using SQL; 4) using Bloomberg terminal to access and analyze real-time market data to research and validate quantitative trading models, conduct market analysis, and perform initial data sourcing; 5) utilizing Bloomberg terminal APIs to deploy self-developed trading strategies into the production environment; and 6) using algorithmic trading models and data analysis to systematically transform financial theories into executable strategies, identify and exploit market trends, and perform post-trade analysis to optimize model parameters and diagnose performance.

Send resume with cover letter to Oppenheimer & Co. Inc., Attention: K. Decker ref#YW2026, Kristy.Decker@opco.com. No calls. EOE