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Executive Python Financial Jobs in Manhattan, NY

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Executive Python Financial information

See Manhattan, NY salary details

$14

$64

$95

How much do executive python financial jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for executive python financial in Manhattan, NY is $64.70, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $73.51 per hour, depending on experience, location, and employer.

What is the difference between Executive Python Financial vs Financial Analyst?

AspectExecutive Python FinancialFinancial Analyst
Required CredentialsPython programming skills, finance knowledge, possibly certifications like CFAFinance degree, certifications like CFA or CPA often preferred
Work EnvironmentTech-driven finance teams, data analysis, programming tasksFinancial reporting, data analysis, forecasting
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanks, investment firms, corporate finance departments
Common Search & ComparisonYesYes

The main difference between Executive Python Financial and a Financial Analyst lies in their skill sets and focus areas. Executive Python Financial professionals combine finance expertise with advanced Python programming to develop data-driven solutions, while Financial Analysts primarily focus on financial data analysis, reporting, and forecasting. Both roles are vital in finance but serve different functions within organizations.

What are the highest paying executive Python financial jobs?

Executive Python financial jobs such as Quantitative Director, Chief Data Officer, or Head of Quantitative Research typically offer the highest salaries in the finance industry, often exceeding $200,000 annually and sometimes reaching over $500,000 with bonuses. These roles require advanced Python skills, experience in financial modeling, and often a background in finance, mathematics, or computer science.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in roles like Executive Python Financial, as it is widely used for data analysis, quantitative modeling, and automation of financial tasks. Its extensive libraries such as pandas, NumPy, and scikit-learn enable efficient handling of large datasets and complex calculations essential in finance environments.
Executive Python Financial jobs near you

AI Engineer, Onsite 5 days a week, Englewood Cliffs, NJ, NO REMOTE, NO C2C

Marlabs LLC

Englewood Cliffs, NJ • On-site

Other

Posted 9 days ago

Job description

Job Title: AI Engineer
Location: Englewood Cliffs, NJ- Onsite 5 days a week.

Duration: Fulltime

Job Description:

This position will identify high-impact business opportunities, design scalable AI-enabled solutions, and build production-ready capabilities that improve how teams work across the company. The ideal candidate combines hands-on AI engineering skills, a strong software engineering foundation, and the ability to translate business needs into reliable enterprise-grade solutions.

The AI/AX team operates as an internal forward-deployed engineers embedded directly with the company's business domain teams. In this model, this role works closely with each domain to learn its processes deeply, reimagine legacy workflows into future-state AI-enabled solutions, and deliver them hands-on. Strong people skills and product management instincts are essential to gather requirements, build trust, and translate business needs into practical, high-impact solutions.

What You Will Own

Drive enterprise AI transformation initiatives from opportunity discovery through solution design, implementation planning, and measurable business adoption.

Design and build AI-enabled workflows and agent-based solutions that support business process improvement, decision support, and operational automation across enterprise functions.

Design scalable AI and data solution architectures that connect enterprise systems, modern data platforms, APIs, and analytics workflows into reliable production capabilities.

Partner with business stakeholders across business units, supply chain, eCommerce, marketing, legal, finance, and related functions to translate business processes into AI-enabled workflows, data models, and software solutions.

Create AI transformation artifacts including capability roadmaps, solution blueprints, intake and prioritization frameworks, implementation plans, and executive-ready progress reporting.

Required Qualifications

10+ years combined experience across software engineering, applied AI/ML, data engineering, or enterprise architecture, with a strong record of delivering production-quality technical solutions.

Strong coding skills in Python, Java, JavaScript, TypeScript, and SQL.

Hands-on experience building LLM-based applications or agent systems, including prompt/context engineering, orchestration, and tool-use design.

Solid software engineering foundation, including API design, backend service development, cloud-native architecture, system integration, testing discipline, and maintainable code practices.

Demonstrated ability to translate ambiguous business problems into scoped AI and software solutions, and to communicate technical tradeoffs clearly to business and executive stakeholders.

Strong people skills and product management ability to embed with business domain teams, learn their processes quickly, and imagine future-state designs that replace legacy workflows with AI-enabled solutions.

Experience designing and implementing internal AI applications, workflow automation, or AI-enabled business process solutions in enterprise environments.

Proven experience driving multiple concurrent projects with engineers and cross-functional contributors, including setting direction, managing execution, resolving blockers, and ensuring delivery accountability.

Preferred Qualifications

Domain knowledge in SCM, sales forecasting, eCommerce, marketing, consumer electronics, appliances, retail, or another B2B/B2C hybrid enterprise is a plus.

Experience setting up ontologies or enterprise knowledgebases for AI-enabled business applications is a major plus.

Experience developing, maintaining, and releasing production enterprise-grade AI applications, including RAG pipelines or knowledge graph-based solutions, is preferred.

Ability to prepare clear, well-structured materials and present project updates, proposals, and recommendations effectively to senior leadership.

Understanding of big data concepts and practical data science skills is a plus.

Experience with multi-agent orchestration, AI chat experiences, guardrails, model evaluation, or fine-tuning is nice to have.

Thanxs & Regards,

Harjeet Singh

Marlabs LLC. | One Corporate Place South | Piscataway, NJ 08854

Tel: X1496 | Cell: | Fax: |

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