826 Economic Trends jobs in the United States

**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.

**Your Future Evolves Here**
Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones.
Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.
Join Evolent for the mission. Stay for the culture.
**What You'll Be Doing:**
**Sr Analyst, Finance**
Put your passion where it meets purpose! Evolent attracts some of the brightest minds in health care. Surround yourself with talented, driven colleagues who share a passion for better health outcomes and a more connected care journey. We are hiring for a Sr Analyst to join our Client Finance Team.
The candidate selected for this role will be part of a team who thrives on driving analysis and support for the toughest and most complex financial decisions related to our fastest growing segment of clients.
**Collaboration Opportunities:**
As a Senior Analyst in Client Finance, you will collaborate closely with the Director of Client Finance to analyze financial data, engage with clients and contracting teams, and support initiatives aimed at optimizing financial performance.
**What You'll Be Doing:**
+ Conduct in-depth financial analysis, including scenario modeling, to support key business decisions
+ Prepare and present financial findings for the Client Finance team and broader internal stakeholders
+ Derive and synthesize key insights for internal stakeholders in pursuit of better client financial support and management
+ Support cross-functional collaboration with other departments to gather data, build complex models, and support development of executive-level presentations
+ Directly collaborate with client supporting various aspects of financial performance
+ Lead or support special ad hoc client-specific projects as needed
+ Develop strong understanding of specific client dynamics to improve client financial analyses
**Qualifications - Required:**
+ Bachelor's degree in business, Finance, Accounting or another quantitative field
+ At least 1-2+ years of experience working in a Finance or medical economics-related field
+ **Experience with a consultative approach to financial modeling**
+ **Advanced Excel skills - extensive knowledge of key formulas and functions**
+ Experience organizing complex data and financial insights succinctly in PowerPoint
+ Demonstrated strength in analytical thinking, with a proven ability to distill complex financial data into clear, actionable strategies. Skilled at effectively communicating financial insights to both technical and non-technical audiences.
+ Proven ability to work both independently and collaboratively when needed in a fast-paced, dynamic environment
+ Basic knowledge of GAAP, familiarity with **U.S. Health System and healthcare financial elements preferred**
+ Quick learner with good follow-through and experience with interpreting healthcare provider contracts **preferred**
**To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request.**
**Technical Requirements:**
We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.
**Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.** **If you need reasonable accommodation to access the information provided on this website, please contact** ** ** **for further assistance.**
The expected base salary/wage range for this position is $80,000 to $85,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.
Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

Our client, a leading financial institution, is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their sophisticated team in Baltimore, Maryland, US . This role is integral to developing and validating complex financial models used for risk management, pricing, and trading strategies. You will be responsible for researching, designing, and implementing quantitative models that capture market dynamics and financial instruments. This includes creating sophisticated algorithms, performing rigorous statistical analysis, and back-testing model performance. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, along with a minimum of 5 years of relevant experience in quantitative finance. Proven expertise in areas such as derivatives pricing, risk modeling (credit, market, operational), portfolio optimization, and statistical arbitrage is essential. You must have strong programming skills in languages like Python, R, C++, or Java, and experience with financial libraries and databases. Excellent data manipulation and analytical capabilities are critical, as is the ability to translate complex mathematical concepts into practical business applications. You will collaborate closely with traders, portfolio managers, and risk managers to understand their needs and provide data-driven insights. Strong written and verbal communication skills are necessary to clearly articulate model methodologies and results. This position offers a challenging and rewarding opportunity to work at the forefront of quantitative finance, contribute to critical business decisions, and drive innovation within a dynamic financial environment.

Our client, a prestigious financial institution, is seeking an accomplished Senior Quantitative Analyst to join their innovative, fully remote team. This role is central to developing, validating, and implementing sophisticated mathematical models for pricing, risk management, and trading strategies across various asset classes. You will leverage advanced statistical techniques, machine learning, and programming skills to solve complex financial problems and drive strategic decision-making. The ideal candidate possesses a strong academic background in a quantitative field (e.g., Mathematics, Physics, Statistics, Computer Science, Financial Engineering) and substantial experience in quantitative finance, preferably within investment banking or asset management. Your responsibilities will include designing and testing quantitative models, performing rigorous back-testing, analyzing large datasets, and communicating complex findings to business stakeholders. Proficiency in programming languages such as Python, C++, or R is essential, along with experience using financial libraries and platforms. You will collaborate closely with traders, portfolio managers, and risk managers to identify needs and deliver impactful solutions. This is a remote-first position, offering the opportunity to contribute to cutting-edge financial analytics from anywhere. We are committed to fostering a collaborative and intellectually stimulating virtual environment. The ability to work independently, manage projects, and thrive in a fast-paced, research-oriented setting is crucial. Your contributions will directly impact the firm's competitive advantage and profitability.
Responsibilities:

• Develop, implement, and maintain quantitative models for financial markets.
• Perform statistical analysis, back-testing, and validation of models.
• Analyze large financial datasets to identify trends and opportunities.
• Collaborate with trading desks, risk management, and portfolio management teams.
• Communicate complex quantitative concepts to non-technical stakeholders.
• Stay abreast of the latest research and developments in quantitative finance and machine learning.
• Ensure models comply with regulatory requirements and internal policies.
• Contribute to the development of new trading strategies and risk management frameworks.

Qualifications:

• Ph.D. or Master's degree in a highly quantitative field (Mathematics, Statistics, Physics, Computer Science, Financial Engineering).
• Minimum of 7 years of experience in quantitative analysis, financial modeling, or related roles.
• Expertise in statistical modeling, time series analysis, and machine learning techniques.
• Strong programming skills in Python, C++, or R.
• Experience with financial data analysis libraries and platforms.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage projects effectively in a remote setting.

Join our client and be at the forefront of financial innovation.

Our client is seeking a highly accomplished Senior Data Scientist with expertise in financial modeling to join their advanced analytics team. This is a fully remote position, offering the opportunity to leverage cutting-edge machine learning techniques and statistical methods to build predictive models that inform critical business decisions. You will work with large, complex datasets, identify key drivers of financial performance, and develop sophisticated algorithms to forecast market trends, assess risk, and optimize investment strategies. The ideal candidate will possess a strong academic background in a quantitative field, coupled with significant practical experience in applying data science to financial challenges. Responsibilities include designing and implementing robust modeling frameworks, validating model performance, and communicating complex findings to both technical and non-technical stakeholders. You will collaborate with financial analysts, portfolio managers, and other business leaders to translate analytical insights into actionable strategies. Experience with big data technologies, cloud platforms, and advanced programming languages is essential. A deep understanding of financial markets, economic principles, and statistical modeling techniques is paramount. If you are a visionary data scientist driven by intellectual curiosity and a desire to shape the future of financial analytics, this remote role is an exceptional opportunity. Responsibilities:

• 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.

Qualifications:

• 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.

Our client is seeking a highly skilled Senior Quantitative Analyst to join our sophisticated financial services team. This critical role is based in Cincinnati, Ohio, US , and involves the development, implementation, and validation of complex quantitative models for trading, risk management, and portfolio optimization. The ideal candidate will possess a strong mathematical background, exceptional programming skills, and extensive experience in financial markets. You will be working with large datasets, designing intricate algorithms, and contributing to the firm's strategic decision-making through rigorous quantitative analysis.

Your responsibilities will include:

• 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.

A Master's degree or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering is required. A minimum of 5 years of relevant experience in a quantitative finance role is essential. Proficiency in programming languages such as Python, C++, or R, and experience with numerical methods and statistical modeling are mandatory. Deep understanding of financial markets, derivative pricing, and risk management frameworks is crucial. Excellent analytical, problem-solving, and communication skills are necessary. Experience with machine learning techniques applied to finance is a strong plus. This position offers a challenging and rewarding opportunity to work at the forefront of quantitative finance.