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Financial Analyst Python Jobs in New York (NOW HIRING)

Capital Markets Analyst

New York, NY · On-site

$48K - $77K/yr

Experience with financial modeling, data analysis, SQL, Python, VBA, or other analytical tools is a plus Kapitus Total Rewards Package Includes: * Competitive Base Salary Range of $48,400-$77,700.

Fintech Analyst

New York, NY · On-site

$90K - $120K/yr

The Analyst will collaborate with finance leadership and internal stakeholders to deliver accurate ... Python/R), ensuring data integrity, reconciliation, and alignment with accounting balancing ...

Purpose of the Role Man Group's US Residential Debt team is seeking an experienced Analyst to ... lender finance is a plus * Proficiency with Python is a plus * Strong written and verbal ...

Proficiency in Python programming ... Experience with financial applications and capital markets. Strong knowledge of data analysis and ...

Experience with financial modeling, data analysis, SQL, Python, VBA, or other analytical tools is a plus Kapitus Total Rewards Package Includes: * Competitive Base Salary Range of $48,400-$77,700.

Capital Markets Analyst

New York, NY · On-site

$48K - $77K/yr

Experience with financial modeling, data analysis, SQL, Python, VBA, or other analytical tools is a plus Kapitus Total Rewards Package Includes: * Competitive Base Salary Range of $48,400-$77,700.

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Financial Analyst Python information

What is a Financial Analyst Python job?

A Financial Analyst Python job involves using Python to analyze financial data, build models, automate reporting, and support decision-making. Analysts leverage libraries like Pandas, NumPy, and Matplotlib to clean, visualize, and interpret financial trends. They may work on budgeting, forecasting, risk assessment, or algorithmic trading. Python helps streamline data processing, improve accuracy, and enhance financial insights.

Will AI replace financial analysts?

AI can automate routine tasks such as data analysis and reporting for financial analysts, enhancing efficiency. However, financial analysts' expertise in interpreting complex data, making strategic decisions, and understanding market nuances remains essential, and AI is more likely to serve as a tool rather than a complete replacement.

Do financial analysts use Python?

Financial analysts often use Python for data analysis, modeling, and automation due to its powerful libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks, making it a valuable skill for the role.

What are the typical daily responsibilities of a Financial Analyst Python?

A Financial Analyst Python typically spends their day gathering, cleaning, and analyzing large datasets to uncover important financial trends and support strategic decisions. The role involves building and maintaining financial models, automating repetitive reporting tasks using Python scripts, and interpreting the results for senior management. Analysts frequently collaborate with other finance team members, data scientists, and business units to align on business objectives and share actionable insights. Daily work may also include monitoring key financial metrics, preparing visualizations, and participating in meetings to communicate findings and recommendations.

What are the key skills and qualifications needed to thrive in the Financial Analyst Python position, and why are they important?

To thrive as a Financial Analyst Python, you need strong analytical abilities, a solid grasp of finance and accounting principles, and advanced proficiency in Python programming, typically backed by a degree in finance, economics, or a related field. Experience with data analytics libraries (such as pandas, NumPy, and matplotlib), databases, and certifications like CFA or relevant data analytics credentials is highly beneficial. Attention to detail, problem-solving skills, and the ability to communicate complex insights clearly are vital soft skills in this role. These capabilities enable effective modeling, accurate forecasting, and meaningful collaboration with both technical and non-technical stakeholders to drive smart financial decisions.

What finance jobs require Python?

Financial analyst roles often require Python for data analysis, automation, and modeling tasks. Skills in Python, along with knowledge of financial concepts and tools like pandas and NumPy, are highly valued in these positions.

Is Python harder than R for finance?

For financial analysts, Python and R are both popular programming languages used for data analysis and modeling. Python is generally considered easier to learn due to its simple syntax and versatility, making it suitable for automation and integration with other tools. R is specialized for statistical analysis and visualization, which can be more complex for beginners but offers powerful capabilities for data-driven finance tasks.
What are the most commonly searched types of Financial Analyst Python jobs in New York? The most popular types of Financial Analyst Python jobs in New York are:
What job categories do people searching Financial Analyst Python jobs in New York look for? The top searched job categories for Financial Analyst Python jobs in New York are:
Senior Analyst FP&A

$88K/yr

Full-time

Medical, Life, Retirement

Posted 8 days ago


JetBlue rating

7.7

Company rating: 7.7 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

10th of 26 rated airlines


Job description

Position Title: Senior Analyst, Financial Planning & Analysis

Position Summary:

The Senior Analyst, Financial Planning & Analysis (FP&A) is responsible for driving process improvement, automation, and system enhancements across the Finance organization, including FP&A, Controller, and Treasury teams. This role partners closely with Finance and IT stakeholders to assess current workflows, translate business needs into technical solutions, and deliver scalable, well-documented processes that improve decision-making and reporting. The Senior Analyst reports to the Manager of FP&A and is expected to independently lead initiatives, communicate clearly with diverse audiences, and influence change across teams.

Essential Responsibilities:

  • Lead and support financial systems implementation, enhancement and integrations, partnering with Finance and IT stakeholders to understand existing processes and how automation and company data can be utilized to support financial decision-making and reporting needs
  • Support capital planning and reporting processes, designing and maintaining technical solutions and datasets that enable accurate, timely, and actionable capital insights
  • Translate business needs into clear, prioritized requirements, documenting enhancements and collaborating with process owners and leadership to sequence work effectively.
  • Produce comprehensive technical and business documentation for each solution, ensuring clarity, maintainability, and knowledge continuity
  • Effectively present work and recommendations to large audiences, senior leadership, and cross-functional partners, clearly articulating concepts and driving alignment
  • Champion a culture of process excellence and data quality, promoting standardization, governance, and consistent use of financial datasets across the Finance organization
  • Identify and proactively recommend opportunities to modernize tools, simplify workflows, and increase automation throughout the Finance organization
  • Other duties as assigned

Minimum Experience and Qualifications:

  • Bachelor’s degree in Finance, Accounting, Business, Computer Science, Mathematics; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous related work experience
  • Three (3) years of relevant experience administering Finance Enterprise Performance Management (EPM) systems (e.g., SAP BPC, Oracle Hyperion)
  • Two (2) years of relevant experience working with data warehouses (e.g., Snowflake/SQL) and business intelligence tools (e.g., Tableau)
  • One (1) year of experience with scripting languages (e.g., Python)
  • Working knowledge of Finance and Accounting principles
  • Experience summarizing and presenting complex analysis to non-technical audiences
  • Available for occasional overnight travel (10%)
  • Must pass a pre-employment drug test
  • Must be legally eligible to work in the country in which the position is located
  • Authorization to work in the US is required, this position is not eligible for visa sponsorship

Preferred Experience and Qualifications:

  • Master’s degree in Finance, Accounting, Business, Computer Science, Mathematics, or an equivalently rigorous analytical discipline
  • Experience implementing Enterprise Performance Management tools; Demonstrated ability to deliver end-to-end finance data solutions from requirements through deployment
  • Proven track record of building data products combining Python, Snowflake and Tableau
  • Experience working with finance ERP systems (e.g., SAP S/4HANA & BusinessObjects (WebI), BPC, Oracle)
  • Prior airline experience

Crewmember Expectations:

  • Regular attendance and punctuality
  • Potential need to work flexible hours and be available to respond on short notice
  • Able to maintain a professional appearance
  • When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft
  • Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun
  • Promote JetBlue’s #1 value of safety as a Safety Ambassador, supporting JetBlue’s Safety Management System (SMS) components, Safety Policy and behavioral standards
  • Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR))
  • The use of ChatGPT or any other automated tool during the interview process will disqualify a candidate from being considered for the position.

Equipment:

  • Computer and other office equipment

Work Environment:

  • Traditional office environment

Physical Effort: 

  • Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)

Compensation: 

  • The base pay range for this position is between $88,000.00 and $132,000.00 per year. Base pay is one component of JetBlue’s total compensation package, which may also include access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on JetBlue, and more.

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