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Python Quantitative Algorithmic Trading Jobs in Absecon, NJ

Python Quantitative Algorithmic Trading information

See Absecon, NJ salary details

$94.5K

$163.7K

$250.3K

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 Absecon, NJ is $163,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $191,900.00 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 Absecon, NJ are hiring for Python Quantitative Algorithmic Trading jobs? Cities near Absecon, NJ with the most Python Quantitative Algorithmic Trading job openings:
Infographic showing various Python Quantitative Algorithmic Trading job openings in Absecon, 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 $163,702 per year, or $78.7 per hour.

Principal Data Scientist, Generative Recommendations & AI- Spain Remote

Cimpress Usa

Chatsworth, NJ • On-site, Remote

Full-time

Re-posted 9 days ago


Job description

Location: Spain,

Experience: 8+ Years building and deploying machine learning models and llms into high-scale customer experiences

Stack: Python, PyTorch/TensorFlow, SQL, Databricks, Snowflake.

Our Team

At Vista Engineering, we are building an industry-leading Customer Relevance Platform to scale personalization across products, design templates, and marketing messages. We are moving away from "model sprawl" toward a unified architecture centered on fmX, a foundation model that learns shared embeddings for all relevant entities for vistaprint (users, products, marketing message, templates...etc.).

Our FY27 mission is focused on delivering an "Context-aware Customer Experience". To achieve this, we are prioritizing the evolution of Intent-Based Personalization-capturing real-time journey signals to match the customer's immediate goals-and infusing our recommendations into Agentic experiences, equipping AI assistants with the context needed to drive conversational shopping.

What You Will Do

As the Principal Data Scientist, you will drive the generative and context-aware evolution of our platform. Part of this role involves partnering directly with another Principal Data Scientist to co-lead our research agenda, accelerate our strategic progress, and elevate the overall capabilities of the Data Science team. You will research, design, and evangelize how Vista uses Generative AI and Large Language Models (LLMs) to go beyond traditional retrieval and ranking, creating fully contextualized, ML-driven customer experiences.

Generative, Intent-Based & Agentic Recommendations

  • Lead the evolution of our recommendation systems into the Generative AI era, moving our architecture beyond static item retrieval by researching generative recommendation paradigms (e.g., agentic recommendations, contextual narratives).

  • Develop an algorithmic intent layer that translates real-time browsing signals into actionable customer intents that will inform our recommendations.

  • Architect the ML pathways to expose core recommendation actions as tools for AI agents, allowing them to synthesize customer intent, retrieve/rank candidates from fmX, and power seamless conversational shopping experiences.

Broad Personalization Strategy & Segmentation

  • Build advanced propensity models and leverage foundational customer traits to drive customer segmentations and personas.

  • Ensure these segmentations are actionable and strategically aligned to the company strategy.

ML-Driven Bot Detection

  • Tackle the critical bot traffic challenge by building multi-layered, hybrid machine learning models trained on historical web tracking data.

  • Classify ambiguous sessions that bypass deterministic rules to protect our analytics and personalization integrity.

Data Science Leadership & Evangelization

  • Partner closely with our existing Principal Data Scientist to divide and conquer complex research initiatives, accelerating the overall team's output and maturity.

  • Act as the primary AI ambassador across Vista, influencing product, engineering, and business leadership to embrace a model-driven approach.

  • Work closely with platform and experience teams to ensure that ML models integrate seamlessly into the customer experience without degrading Core Web Vitals or caching efficiency.

Your Qualifications

At VistaPrint, we are striving to hire individuals that add new ideas and perspectives to our teams and enhance our culture. No matter your background or work experience, we strongly encourage you to apply-even if you feel that you don't meet the exact requirements or have the same qualifications. You might be a great candidate for this or other opportunities. 

  • Advanced degree (Ph.D. or Master's) in Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field.

  • 8+ years of experience building and deploying machine learning models into high-scale customer experiences.

  • Deep expertise in Deep Learning, Large Language Models (LLMs), and Reinforcement Learning.

  • Proven track record of building robust propensity models, customer segmentation frameworks, and anomaly/bot detection algorithms on large-scale behavioral data.

  • Expert-level proficiency in Python, PyTorch/TensorFlow, and SQL.

  • Strong architectural understanding of how ML models interact with both backend data pipelines (e.g., streaming features, Databricks, Snowflake) and frontend delivery systems (e.g., UI fragment rendering, caching strategies).

  • Very strong communication and stakeholder management skills.

  • Proven ability to translate complex statistical and algorithmic concepts into clear business value to influence non-technical leadership.

  • Relevant work experience in an Agile environment and in the e-commerce or marketing domain.

Why You'll Love Working Here

There is a lot to love about working at VistaPrint. We are an award winning Remote-First company. We're an inclusive community. We're growing (which means you can too). And to help orient us all in the same direction, we have our Vista Behaviors which exemplify the behavioral attributes that make us a culturally strong and high-performing team. 

About Us

VistaPrint is the design and marketing partner to millions of small businesses around the world. For over 20 years we've been inspired by small businesses, and we work incessantly to deliver solutions to their evolving needs. Together, VistaCreate, 99designs by Vista and VistaPrint represent a full-service design, digital and print solution, elevating small businesses' presence in physical and digital spaces and powering them to achieve success. VistaPrint is focused on making great marketing and design accessible to every small business owner, allowing them to create a cohesive brand image for use in-store, online and on-the-go.

Commitment to Diversity, Equity, & Inclusion

VistaPrint exists to help our customers live their dreams. Each dream is unique - and the VistaPrint team needs to be as well. We believe in the unique contributions of everyone within a diverse global organization. We are collaborative, inclusive, and innovative. We strive to role model and live an inclusive culture of fairness, respect and belonging for all. And we work together to empower each other, creating a space in which each of us can spark our next great idea. 

Equal Opportunity Employer

VistaPrint, a Cimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and, in fact, in many cases, we strive to do more than the law requires.

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