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Algorithmic Trading Jobs in Philadelphia, PA (NOW HIRING)

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

Senior Systems Engineer

Moorestown, NJ

$103K - $141K/yr

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

Senior Systems Engineer

Moorestown, NJ

$103K - $141K/yr

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

Showing results 21-40

Algorithmic Trading information

See Philadelphia, PA salary details

$75.2K

$86.5K

$94.9K

How much do algorithmic trading jobs pay per year?

As of Aug 19, 2026, the average yearly pay for algorithmic trading in Philadelphia, PA is $86,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $91,800.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the most commonly searched types of Algorithmic Trading jobs in Philadelphia, PA?

The most popular types of Algorithmic Trading jobs in Philadelphia, PA are:

What are popular job titles related to Algorithmic Trading jobs in Philadelphia, PA?

For Algorithmic Trading jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading jobs in Philadelphia, PA look for?

The top searched job categories for Algorithmic Trading jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Algorithmic Trading jobs?

Cities near Philadelphia, PA with the most Algorithmic Trading job openings:

Infographic showing various Algorithmic Trading job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,529 per year, or $41.6 per hour.

Associate Director Predictive Algorithms Global Capability Owner

Jazz Pharmaceuticals

Philadelphia, PA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

If you are a current Jazz employee please apply via the Internal Career site.

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.

Brief Description:

Building Global Capabilities in a Product Operating Model to Power Our Business:

At Jazz, we are reimagining how we design and deliver more precise customer experiences, enabled by new technologies, modern ways of working, and high performing team behaviors. Through this work, we enable teams to better understand patients, caregivers, and HCPs, anticipate their needs across the enterprise, deliver timely and personalized engagement, and orchestrate seamless, end-to-end experiences as One Jazz.

To power this ambition with both speed and scale, we are embracing a new product-oriented operating model, allowing business and technology teams to partner side by side in building, advancing, and delivering global capabilities across our enterprise. Cross-functional, empowered Global Capability teams own outcomes—not just outputs—and work from clear capability visions, strategies, and measurable goals. We prioritize user problems, validate solutions through experimentation and data, and iterate quickly to create real value for our users and the business. As part of this model, you’ll collaborate closely with users, stakeholders, and technical teams across the organization, using discovery and delivery practices to ensure we’re building the right things, in the right way, at the right time.

The Global Capability Owner, CX Predictive Algorithms, is a pivotal leader in advancing how Jazz leverages AI and advanced analytics to transform the customer experience. This role provides product leadership and strategic direction for the Predictive Algorithms capability within the Customer Insights and Analytics team, driving the development of scalable models and AI-driven solutions that convert complex data into actionable, high-impact insights. Reporting to the Suite Lead, this leader partners closely with Tech Leads, Activation Leads, development teams, and external partners to deliver predictive and AI-driven solutions that fundamentally reshape how Jazz engages with customers, enabling more personalized, data-driven decisions and elevating customer experience across global markets.

The Global Capability Predictive Algorithms team builds and evolves enterprise predictive models, including patient prediction, dynamic targeting, and next best action capabilities that generate actionable recommendations. These solutions support smarter orchestration, improve targeting precision, and integrate with downstream engagement platforms across franchises. As Global Capability Owner, you will be accountable for defining the capability vision, setting roadmap priorities, and delivering measurable outcomes in collaboration with stakeholders, ensuring predictive analytics solutions are effectively operationalized and drive meaningful business impact.

Essential Functions/Responsibilities

Key Responsibilities:

Global Capability Strategy & Roadmap Ownership

· Define and articulate the capability vision, and outcomes aligned to global and franchise priorities in collaboration with key stakeholders.

· Own and continuously evolve the Predictive Algorithms roadmap, making prioritization and trade-off decisions to add the most value based upon user feedback.

· Translate business needs into product solutions with measurable success metrics that drive impact across franchises and the business.

· Develop and maintain a global roadmap for predictive modeling and AI-driven recommendation products, including patient prediction models, dynamic targeting algorithms, next-best-action engines, and model governance frameworks, evaluating and streamlining the product set, defining what to deliver first/next, and planning releases to drive adoption and measurable impact on orchestration and engagement outcomes.

Collaboration

· Connect business stakeholders and the Predictive Algorithms global capability product team, ensuring requirements are clearly defined and aligned to strategically important business outcomes and success metrics.

· Partner closely with the Tech Lead to align business priorities with technical feasibility and delivery sequencing, ensuring trade-offs support agreed business outcomes.

· Partner closely with the Suite Lead to align product priorities, scope and roadmap decisions with suite-level business objectives, ensuring consistent focus on enterprise outcomes and value delivery.

· Define clear product requirements, user stories, and acceptance criteria to enable efficient execution and alignment with business partner activity needs.

· Partner across the Customer Experience Organization to ensure seamless integration and influence ongoing product evolution to support scalability, flexibility, and compliance requirements.

· Enable faster, higher quality business decisions and improved customer outcomes by systematically translating enterprise customer feedback into prioritized actions, rapid issue resolution, and sustained organizational improvement

User-Centered Solution Development

· Design and develop Predictive Algorithms grounded in user insights and engagement data, with a strong focus on end-user comprehension and consumption, ensuring explainibility, usability, and real-world impact while driving a more personalized customer experience.

· Lead discovery and solution shaping efforts, partnering with users and key stakeholders to translate business needs into AI-driven solutions, embedding considerations for model performance, monitoring, and continuous optimization.

Delivery, Optimization & Value Realization

· Partner with development and data teams to deliver scalable, reusable Predictive Algorithms capabilities.

· Monitor product adoption, outcome KPIs and engagement metrics to inform backlog prioritization and continuous improvement

· Develop and manage documentation (PRDs, user stories, discovery artifacts), and sprint planning in partnership with the Tech Lead and development teams

· Drive experimentation to improve Predictive Algorithm outcomes

· Leverage outcome metrics to articulate the product's value proposition and its impact, promoting product awareness across CX operations and foster a culture of engagement and feedback in partnership with Activation.

Required Knowledge, Skills, and Abilities

Technical Skills

· Experience designing scalable product frameworks, prioritization logic, and governance standards.

· Strong understanding of predictive modeling platforms, AI-driven recommendation ecosystems, and HCP targeting and personalization solutions.

· Familiarity with machine learning and predictive analytics platforms, next-best-action engines, audience segmentation tools, data pipeline solutions, and orchestration platforms that consume model outputs, or comparable platforms.

· Knowledge of predictive modeling, dynamic targeting, patient and enterprise propensity scoring, model governance, and AI-driven recommendation frameworks applicable to the Predictive Algorithms product team.

· Experience working within Agile product development and product operating models.

· Experience with tools such as JIRA, Confluence, or similar product management and collaboration platforms.

· Experience partnering with end users across product discovery, design, and deployment.

Business Skills

· Customer Journey Understanding – ability to see customer’s end-to-end experience clearly and use it on an ongoing basis for go to market strategic, tactical and measurement decisions, while anticipating needs across touchpoints. Make practical decisions that improve journey and outcomes.

· Cross functional Matrix Collaboration – ability to work fluidly across teams and reporting lines respecting SME, coordinating shared work, ensuring progress even when accountability is distributed – supporting decisions with professional alignment and focus on collective success. Deeply understands and values unique capabilities and perspectives of diverse functions.

· Problem Solving - ability to break down complexity, identify root causes, and experiment with solutions using an adaptive, learning oriented approach.

· Managing Competing Priorities - ability to navigate shifting demands with clarity and adaptability, focusing effort where it creates the greatest future impact while keeping work moving.

· Decision-Making - ability to make transparent, criteria based decisions by weighing options, risks, and implications and aligning others around the path forward.

· Continuous Improvement — ability to regularly improve processes/products through reflection and iteration, generates new options and approaches when constraints exist, growth mindset, challenges status quo.

#LI-Remote

Required/Preferred Education and Licenses

Qualifications:

· Bachelor’s degree in business, technology, marketing, science, or related field.

· 8+ years of experience in pharmaceutical, healthcare, or other highly regulated industries

· Experience in digital product management, product ownership, or demonstrated experience managing the creation and delivery of a product roadmap within a cross-functional team.

· Experience working with predictive modeling and AI-driven recommendation platforms, including machine learning tools, next-best-action engines, dynamic targeting solutions, audience segmentation platforms, and model governance frameworks, within enterprise analytics and orchestration ecosystems.

Preferred / Additional Qualifications:

· Advanced degree (MBA or relevant graduate degree) preferred.

· Experience working in a product operating model

· Experience partnering with Product teams supporting digital and operational capabilities.

· Advanced degree may offset a portion of required years of experience, consistent with enterprise hiring guidelines.

· Experience working in rare disease or specialty brands, with strong understanding of unique stakeholder dynamics.

Working Requirements:

· 20-30% travel will be required.

Jazz Expected Behaviors

· Demonstrates ownership and accountability, taking responsibility for outcomes and driving work forward with urgency, clarity, and a focus on impact.

· Leads with curiosity and a Growth Mindset, actively exploring user needs, emerging technologies, and new ways of working to elevate capability and innovation.

· Embraces change as a learning opportunity, adapting quickly, modeling resilience, and helping others navigate dynamic environments.

· Acts with a One Jazz mindset, prioritizing enterprise value, breaking down silos, and building strong, trust-based partnerships across teams.

· Delivers high performance results, setting ambitious goals, challenging assumptions, and consistently driving measurable business impact.

· Models inclusive, collaborative leadership, creating space for diverse perspectives and empowering others to contribute their best work.

· Invest in continuous learning, developing personal skills while coaching and elevating the capabilities of colleagues and cross functional partners.

· Navigates ambiguity with confidence, using sound judgment, data, and user insights to make informed decisions even when information is incomplete.

· Communicates with clarity and influence, simplifying complexity, aligning stakeholders, and ensuring shared understanding of priorities and outcomes.

Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.

FOR US BASED CANDIDATES ONLY

Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $160,000.00 - $240,000.00

Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis.

At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan.

The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits.html.