855 Stock Market Analysis 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

#J-18808-Ljbffr

**A Snapshot of Your Day (position overview)**
As a member of the Financial Modeling & Analytics
(FM&A) team, you will be responsible for building, reviewing, and
maintaining the financial model for your respective deals within the Project
Development portfolio! The FM&A team supports the Project SPV Deal Lead by
providing any required quantitative analysis and assists in preparing all vital
materials for Investment Committee presentations. As the financial modeling
expert, you will be required to review and provide feedback on the accuracy and
performance of internal & external financial models!
**How You'll Make an Impact (responsibilities)**
+ Completemultilayered market research in the field of energy infrastructure,highlighting recent transactions in power generation, transmission,hydrogen, and renewables.
+ Analyzesophisticated market data and build PowerPoint presentations thateffectively communicate key findings
+ Applya basic understanding of Siemens Energy's portfolio of technologies
+ Buildand maintain databases that provide an accurate and mark best practices standard processes to ensureoutstanding Excel-based valuation tools are applied to quantify keytransaction risks, perform sensitivity analyses, estimate potentialreturns related to investment opportunities and determine optimalallocation of capital among prospective projects
**What You Bring (requirements)**
+ Bachelor'sDegree or equivalent experience in economics, math, and/or finance.
+ Industryexperience - 3 to 5 years' experience within various roles pertaining toM&A consulting, investment/corporate banking, private equity/venturecapital, valuation, FP&A or corporate development
+ Proficiencyin building and continually improving integrated financial models usingExcel and creating informative PowerPoint presentations for C-suite andboard members
+ Proactive,multifaceted, decisive & results oriented and a standout colleaguewith strong interpersonal and negotiation skills
+ Applicantsmust be legally authorized for employment in the United States withoutneed for current or future employer-sponsored work authorization. SiemensEnergy employees with current visa sponsorship may be eligible forinternal transfers.
**About the Team**
**Gas Services**
Our Gas Services division offers Low-emission power
generation through service and decarbonization. Zero or low emission power
generation and all gas turbines under one roof, steam turbines and generators.
Decarbonization opportunities through service offerings, modernization, and
digitalization of the fleet.
**Who is Siemens Energy?**
At Siemens Energy, we are more than just an energy
technology company. With ~100,000 dedicated employees in more than 90
countries, we develop the energy systems of the future, ensuring that the
growing energy demand of the global community is met optimally and sustainably.
The technologies crafted in our research departments and factories drive the
energy transition and provide the base for one sixth of the world's electricity
generation.
Our global team is committed to making sustainable,
reliable, and affordable energy a reality by pushing the boundaries of what is
possible. We uphold a 150-year legacy of innovation that encourages our search
for people who will support our focus on decarbonization, new technologies, and
energy transformation.
Find out how you can make a difference at Siemens Energy: Careergrowth and development opportunities; supportive work culture
+ Companypaid Health and wellness benefits
+ PaidTime Off and paid holidays
+ 401Ksavings plan with company match
+ Familybuilding benefits
+ Parentalleave
** Employment Opportunity Statement
Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local
law.

**A Snapshot of Your Day (position overview)**
As a member of the Financial Modeling & Analytics
(FM&A) team, you will be responsible for building, reviewing, and
maintaining the financial model for your respective deals within the Project
Development portfolio! The FM&A team supports the Project SPV Deal Lead by
providing any required quantitative analysis and assists in preparing all vital
materials for Investment Committee presentations. As the financial modeling
expert, you will be required to review and provide feedback on the accuracy and
performance of internal & external financial models!
**How You'll Make an Impact (responsibilities)**
+ Completemultilayered market research in the field of energy infrastructure,highlighting recent transactions in power generation, transmission,hydrogen, and renewables.
+ Analyzesophisticated market data and build PowerPoint presentations thateffectively communicate key findings
+ Applya basic understanding of Siemens Energy's portfolio of technologies
+ Buildand maintain databases that provide an accurate and mark best practices standard processes to ensureoutstanding Excel-based valuation tools are applied to quantify keytransaction risks, perform sensitivity analyses, estimate potentialreturns related to investment opportunities and determine optimalallocation of capital among prospective projects
**What You Bring (requirements)**
+ Bachelor'sDegree or equivalent experience in economics, math, and/or finance.
+ Industryexperience - 3 to 5 years' experience within various roles pertaining toM&A consulting, investment/corporate banking, private equity/venturecapital, valuation, FP&A or corporate development
+ Proficiencyin building and continually improving integrated financial models usingExcel and creating informative PowerPoint presentations for C-suite andboard members
+ Proactive,multifaceted, decisive & results oriented and a standout colleaguewith strong interpersonal and negotiation skills
+ Applicantsmust be legally authorized for employment in the United States withoutneed for current or future employer-sponsored work authorization. SiemensEnergy employees with current visa sponsorship may be eligible forinternal transfers.
**About the Team**
**Gas Services**
Our Gas Services division offers Low-emission power
generation through service and decarbonization. Zero or low emission power
generation and all gas turbines under one roof, steam turbines and generators.
Decarbonization opportunities through service offerings, modernization, and
digitalization of the fleet.
**Who is Siemens Energy?**
At Siemens Energy, we are more than just an energy
technology company. With ~100,000 dedicated employees in more than 90
countries, we develop the energy systems of the future, ensuring that the
growing energy demand of the global community is met optimally and sustainably.
The technologies crafted in our research departments and factories drive the
energy transition and provide the base for one sixth of the world's electricity
generation.
Our global team is committed to making sustainable,
reliable, and affordable energy a reality by pushing the boundaries of what is
possible. We uphold a 150-year legacy of innovation that encourages our search
for people who will support our focus on decarbonization, new technologies, and
energy transformation.
Find out how you can make a difference at Siemens Energy: Careergrowth and development opportunities; supportive work culture
+ Companypaid Health and wellness benefits
+ PaidTime Off and paid holidays
+ 401Ksavings plan with company match
+ Familybuilding benefits
+ Parentalleave
** Employment Opportunity Statement
Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local
law.

Our client, a leading financial institution, is seeking a talented Quantitative Analyst to join their dynamic team in **Phoenix, Arizona, US**. This role focuses on developing and implementing sophisticated quantitative models for pricing, risk management, and trading strategies within the capital markets. You will work with complex datasets, leveraging advanced statistical and mathematical techniques to drive business decisions and enhance financial performance. Responsibilities include building, testing, and deploying pricing models for derivatives, developing risk assessment frameworks, and creating algorithms for algorithmic trading. Collaboration with traders, portfolio managers, and risk officers is a key aspect of this position.

You will also be involved in the ongoing validation and refinement of existing models, ensuring their accuracy and relevance in dynamic market conditions. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science, with a strong academic record. A minimum of 3 years of experience in quantitative finance, with demonstrable expertise in financial modeling and programming (e.g., Python, R, C++, MATLAB), is required. Experience with financial markets, derivative products, and risk management principles is essential. Strong analytical, problem-solving, and communication skills are critical for translating complex quantitative concepts to both technical and non-technical audiences. Knowledge of machine learning techniques applied to finance is a plus. This is an excellent opportunity to contribute to high-impact financial strategies in a challenging and rewarding environment.

An esteemed insurance organization in **Chicago, Illinois, US** is looking for a Lead Actuary with expertise in financial modeling to join their dynamic team. This senior position plays a crucial role in shaping the company's financial strategy and risk management practices. You will be responsible for developing, implementing, and maintaining sophisticated actuarial models that support pricing, reserving, capital management, and financial forecasting. The Lead Actuary will lead a team of talented actuaries, providing guidance, mentorship, and technical oversight. Key responsibilities include performing complex actuarial analyses, ensuring compliance with regulatory requirements, and contributing to the actuarial valuation of liabilities. You will also be involved in evaluating the financial impact of new products and business initiatives. Collaboration with other departments, including finance, risk management, and product development, is essential to provide actuarial insights and support strategic decision-making. The ideal candidate is a fully qualified actuary (FSA or equivalent) with extensive experience in the insurance industry, particularly in life or property and casualty insurance. Proven experience in building and validating financial models, along with a strong understanding of actuarial software and programming languages (e.g., Python, R, SQL), is required. Excellent analytical, communication, and leadership skills are necessary to effectively manage projects and mentor junior team members. This role is based in the heart of **Chicago, Illinois, US**, offering a challenging and rewarding career opportunity within a reputable firm. You will have the chance to influence critical business decisions and contribute to the long-term financial health of the organization.

Our client, a leading financial institution, is seeking an exceptionally skilled Senior Quantitative Analyst to join their remote-first team. This crucial role involves developing sophisticated financial models and analytical tools to support trading strategies, risk management, and product development. The ideal candidate will possess a strong mathematical background, advanced programming skills, and a deep understanding of financial markets and instruments. You will be responsible for designing, implementing, and validating complex quantitative models for pricing derivatives, measuring risk, and optimizing portfolios. Key responsibilities include collaborating with traders, portfolio managers, and risk officers to understand their analytical needs and deliver robust solutions. This involves extensive data analysis, statistical modeling, and algorithmic development. Proficiency in programming languages such as Python, R, C++, or Java is essential, along with experience in statistical software and machine learning libraries. A thorough understanding of stochastic calculus, time series analysis, and numerical methods is required. You will also be involved in the research and development of new quantitative methodologies, staying abreast of industry best practices and regulatory changes. The Senior Quantitative Analyst will contribute to the continuous improvement of our modeling infrastructure and the adoption of cutting-edge analytical techniques. Excellent communication skills are necessary to articulate complex analytical concepts and model outputs to both technical and non-technical audiences. A Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science is required, along with a minimum of 5 years of experience in quantitative analysis within the financial services industry. Experience with trading systems and risk management platforms is highly advantageous. This is an outstanding opportunity to leverage your quantitative expertise in a fully remote capacity and make a significant impact on the firm's strategic decision-making and trading success.

Our client, a leading investment bank, is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their team in **San Francisco, California, US**. This role offers a challenging opportunity to leverage advanced mathematical and statistical techniques to develop and implement sophisticated financial models. You will be integral in supporting trading strategies, risk management, and product development across various asset classes. The ideal candidate will possess a strong academic background in a quantitative field, coupled with extensive practical experience in financial modeling and programming. Responsibilities include designing, testing, and validating pricing and risk models, conducting data analysis to identify market trends, implementing quantitative strategies in production environments, and collaborating closely with traders, risk managers, and technology teams. A Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative discipline is required. Significant experience (5+ years) in quantitative finance, particularly in model development for derivatives pricing, risk management, or algorithmic trading, is essential. Proficiency in programming languages such as Python, C++, R, or MATLAB is mandatory, along with strong SQL skills and experience with large datasets. Knowledge of financial markets, trading systems, and regulatory requirements is highly valued. This position utilizes a hybrid work model, requiring regular collaboration in the San Francisco office while allowing for flexibility. You will contribute to the firm's success by providing critical quantitative insights and innovative solutions in a fast-paced financial environment.

Key Responsibilities:

• Develop, implement, and validate quantitative financial models.
• Perform statistical analysis and build predictive models for market behavior.
• Design and test pricing models for complex financial derivatives.
• Implement risk management frameworks and conduct stress testing.
• Collaborate with front-office and technology teams on model deployment.
• Analyze large datasets to extract actionable insights.
• Contribute to the development of new financial products and strategies.
• Ensure model compliance with regulatory standards.

Qualifications:

• Master's or Ph.D. in a quantitative field.
• 5+ years of experience in quantitative finance.
• Expertise in financial modeling and statistical analysis.
• Proficiency in Python, C++, R, or MATLAB.
• Strong knowledge of financial markets and instruments.
• Experience with risk management and derivatives pricing.
• Excellent analytical and problem-solving skills.

Our client, a leading financial services firm, is seeking a highly analytical and innovative Senior Data Scientist to focus on financial modeling and quantitative analysis. This is a remote-first position, offering the flexibility to work from anywhere. You will be instrumental in developing sophisticated predictive models, performing complex data analysis, and extracting actionable insights from large datasets to drive strategic decision-making. The ideal candidate will possess a strong foundation in statistics, machine learning, programming, and a deep understanding of financial markets and instruments. You will collaborate with cross-functional teams to translate complex financial concepts into data-driven solutions.

Responsibilities:

• Design, develop, and implement advanced statistical and machine learning models for financial forecasting, risk assessment, and portfolio optimization.
• Analyze large, complex datasets to identify trends, patterns, and correlations relevant to financial performance.
• Build and maintain data pipelines for model training and deployment, ensuring data integrity and accuracy.
• Develop and validate financial models, including pricing models, valuation models, and credit risk models.
• Collaborate with quantitative analysts, portfolio managers, and business stakeholders to understand their needs and translate them into data science solutions.
• Communicate complex findings and model results clearly and concisely to both technical and non-technical audiences through visualizations and reports.
• Stay current with the latest advancements in data science, machine learning, and financial modeling techniques.
• Contribute to the development of data governance standards and best practices within the organization.
• Mentor junior data scientists and share knowledge across the team.
• Perform ad-hoc data analysis to support business initiatives and respond to critical inquiries.

Qualifications:

• Master's or Ph.D. in Quantitative Finance, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a strong emphasis on financial modeling and quantitative analysis.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.
• Experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Solid understanding of financial markets, investment strategies, and regulatory frameworks.
• Expertise in various machine learning algorithms and statistical modeling techniques.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent problem-solving skills and the ability to work independently in a remote environment.
• Strong communication and presentation skills.
• Demonstrated ability to work effectively in a collaborative, cross-functional team.

This is an exciting opportunity to leverage your data science expertise in the dynamic world of finance, working remotely to shape critical financial strategies.

Our client, a prestigious financial institution, is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their expanding team. This role will be instrumental in developing and implementing sophisticated financial models, risk management strategies, and pricing methodologies. You will work closely with portfolio managers, traders, and risk managers to provide critical insights and support data-driven decision-making. The Senior Quantitative Analyst will be responsible for creating, validating, and maintaining complex financial models, ensuring their accuracy, robustness, and compliance with regulatory standards. Expertise in statistical analysis, programming, and financial markets is essential.

Key Responsibilities:

• Develop, implement, and validate quantitative financial models for pricing, risk management, and portfolio optimization.
• Conduct in-depth statistical analysis of market data to identify trends and opportunities.
• Build and maintain financial databases and data management systems.
• Collaborate with front-office teams to understand business needs and translate them into quantitative solutions.
• Perform stress testing and scenario analysis on financial models.
• Ensure models comply with regulatory requirements and internal policies.
• Document model methodologies, assumptions, and validation processes thoroughly.
• Stay abreast of the latest developments in quantitative finance, econometrics, and financial technology.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
• Mentor junior quantitative analysts and contribute to team development.

The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Economics, or Computer Science. A minimum of 5 years of experience in quantitative analysis, financial modeling, or a related role within the financial services industry is required. Proficiency in programming languages like Python (with libraries such as NumPy, Pandas, SciPy), R, or C++ is essential. Strong knowledge of financial markets, derivatives, and risk management principles is crucial. Experience with data visualization tools and databases is highly desirable. Excellent analytical, problem-solving, and communication skills are paramount. This hybrid role offers the flexibility to work both remotely and from our state-of-the-art offices in Austin, Texas, US .