27 Financial Modeling jobs in the United States

Job Description

Salary:

Come join a growing financial technology company that's leading the marketplace in both the marketing and servicing of credit cards!

Continental Finance Company specializes in credit card options for consumers with less-than-perfect credit. We are seeking a Senior Financial Modeling Analyst to support our Finance team.

The Senior Financial Modeling Analyst will assist with various financial and corporate planning models to support internal and external requests. This individual will also assist with projects impacting business decisions.

CFC offers a hybrid work schedule: three (3) days in the office (Tuesday, Wednesday, Thursday) and two (2) remote days (Monday, Friday).

Essential Functions:

• Build financial models using historical data and provide forecasts based on industry-related metrics.
• Develop and analyze financial and non-financial risks; recommend mitigation actions.
• Communicate insights through analysis, reporting, and data visualization.
• Prepare financial analyses, management reports, and monitor economic trends and forecasting assumptions.
• Collaborate on research and financial analysis for potential acquisitions.
• Perform other duties as assigned.

The ideal candidate will have:

• Bachelor's degree in finance, accounting, or economics.
• 2-5 years of credit card industry or banking experience.
• Proficiency with VBA in Microsoft Excel, including coding and arrays.
• Experience in financial planning and analysis.
• Prior financial modeling experience.
• Experience evaluating acquisition opportunities.
• Strong organizational skills and ability to prioritize in a fast-paced environment.
• Proficiency in Microsoft Office Suite.
• Basic to intermediate knowledge of SQL and Snowflake.
• Excellent analytical, problem-solving, and communication skills.
• Self-motivated and able to work independently.

Why Continental Finance?

Continental Finance Company (CFC) is a leading marketer and servicer of credit cards for consumers with less-than-perfect credit. Since 2005, we have prioritized corporate responsibility and customer support. We have grown into an innovative financial tech company with a state-of-the-art platform, managing over 2.6 million credit cards. We are committed to equal employment opportunity and fostering a diverse, inclusive workplace.

We seek bright, energetic individuals to join our team. We offer competitive compensation and benefits in a dynamic, business casual environment. Join us and apply online today!

#LI-HYBRID

• Develop and implement advanced statistical and machine learning models for financial forecasting, risk assessment, and predictive analytics.
• Design and execute complex data analysis projects using large, diverse datasets.
• Validate and refine model performance, ensuring accuracy and robustness.
• Collaborate with cross-functional teams to define business problems and translate them into data science solutions.
• Communicate complex analytical findings and recommendations clearly to stakeholders at all levels.
• Stay current with the latest advancements in data science, machine learning, and financial modeling techniques.
• Contribute to the development of data infrastructure and best practices within the team.
• Mentor junior data scientists and contribute to knowledge sharing.

• Ph.D. or Master's degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with a focus on financial modeling and predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is highly desirable.
• Excellent understanding of financial markets and economic principles.
• Superb analytical, problem-solving, and communication skills.

• Developing and implementing pricing, hedging, and risk management models for various financial instruments, including equities, fixed income, and derivatives.
• Performing rigorous backtesting and validation of models to ensure their accuracy and robustness.
• Collaborating closely with traders, portfolio managers, and risk officers to understand their needs and provide quantitative solutions.
• Designing and coding sophisticated algorithms for algorithmic trading strategies and portfolio construction.
• Analyzing market data to identify trading opportunities and inform risk assessment.
• Staying current with the latest developments in financial engineering, econometrics, and quantitative finance.
• Communicating complex quantitative concepts and model results clearly to both technical and non-technical audiences.
• Contributing to the development and maintenance of the firm's quantitative infrastructure and tools.
• Conducting research into new modeling techniques and financial products.
• Ensuring compliance with regulatory requirements and internal policies related to model risk management.

• Design, develop, and implement complex quantitative models for financial product pricing, risk assessment, and algorithmic trading.
• Perform rigorous backtesting and validation of models to ensure accuracy, robustness, and compliance with regulatory standards.
• Analyze large datasets to identify market trends, risk factors, and opportunities for alpha generation.
• Collaborate with business stakeholders to understand their needs and translate them into quantitative solutions.
• Develop and maintain high-quality code in languages such as Python, C++, or R for model implementation and data analysis.
• Contribute to the research and development of new methodologies and financial instruments.
• Explain complex model methodologies and results to non-technical audiences, including senior management and regulators.
• Monitor the performance of implemented models and make necessary adjustments or refinements.
• Ensure compliance with all relevant financial regulations and internal policies.
• Mentor junior quantitative analysts and contribute to the team's technical development.
• Stay abreast of the latest advancements in quantitative finance, machine learning, and computational statistics.
• Work effectively in a hybrid team environment, contributing to discussions and collaborative projects both remotely and in the office located in Orlando, Florida, US .

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• 5+ years of experience in quantitative analysis, financial modeling, or a related role within the financial services industry.
• Strong programming skills in Python, C++, R, or similar languages.
• Deep understanding of financial markets, derivatives, risk management principles, and portfolio theory.
• Proven experience in developing and implementing pricing and risk models.
• Familiarity with statistical modeling, time series analysis, and machine learning techniques.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and presentation skills, with the ability to convey complex quantitative concepts effectively.
• Experience working in a hybrid setup, effectively managing responsibilities from both remote and on-site locations in Orlando, Florida, US .

Thales College provides an affordable Liberal Arts and Professional education so that students develop the wisdom-intellectual ability, meaningful knowledge, moral character, and professional excellence-needed to thrive in life and work.

We are looking for an Adjunct Professor to teach Data Analytics & Financial Modeling in Excel - starting fo r Fall 2025 . This will be for in-person instruction.

This course teaches basic concepts and methods in how data is collected, organized, analyzed, visualized and used ethically to understand and predict trends in society and in business, make decisions, and act constructively. Real world examples demonstrate how data analysis has actually been used to significantly improve society, a business, or an industry. Data analytics methods include linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization.

Description:

• Adjunct faculty positions provide quality, effective instruction in assigned courses on a part-time, temporary basis
• Deliver course content to undergraduate Business students including lecture and lab instruction
• Oversee assignments, grading and maintain accurate records of student work and attendance

• Master's degree in related field
• And/or extensive experience in a field that requires high volume of data science
• Prefer background in math, computers, or business/finance

• Adjunct professors are paid on a per course basis upon completion of the course

U.S. Bancorp Impact Finance is seeking an experienced finance professional to join our growing Affordable Housing team as a real estate Financial Modeling Manager. The Modeling Manager will be responsible for conducting financial modeling and analysi Modeling, Financial, Finance, Manager, Housing, Asset Manager, Banking

U.S. Bancorp Impact Finance is seeking an experienced finance professional to join our growing Affordable Housing team as a real estate Financial Modeling Manager. The Modeling Manager will be responsible for conducting financial modeling and analysi Modeling, Financial, Finance, Manager, Housing, Asset Manager, Banking