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Finance Engineer Jobs (NOW HIRING)

Qualifications: - Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience. - Proficiency in ...

Finance Analytics Engineer

San Mateo, CA · On-site

$185K - $221K/yr

As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data ...

SCADA Engineer

Oakland, CA · On-site

$135K/yr

Drawing upon an extensive knowledge base, we develop, finance, engineer, build, own, and operate high quality utility-scale photovoltaic projects and battery energy storage projects. Our Technology ...

SCADA Engineer

Oakland, CA · Hybrid

$135K/yr

Drawing upon an extensive knowledge base, we develop, finance, engineer, build, own, and operate high quality utility-scale photovoltaic projects and battery energy storage projects. Our Technology ...

Join Our Team As Finance Process Engineer, you will play a crucial role in identifying, documenting, and analysing current state processes. Additionally, you will be recommending, designing and ...

WHO WE ARE LOOKING FOR The Finance Analytics & AI Engineer is a senior individual contributor role based on the Commercial FP&A team, with scope to support the broader Finance organization. This role ...

The Applied AI / Machine Learning Engineer will develop and deploy AI solutions for various finance use cases, ensuring they are scalable and aligned with enterprise standards. Responsibilities : • ...

The Applied AI / Machine Learning Engineer will develop and deploy AI solutions for various finance use cases, ensuring they are scalable and aligned with enterprise standards. Responsibilities : • ...

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Engineer: Build, stress-test, and deploy forward-looking models to manage risk and predict ... Bachelor's degree in Finance, Accounting, Economics, or a related quantitative discipline. * Strong ...

As the Applied AI / Machine Learning Engineer, you will play a handson role crafting, developing, deploying, and operating AI and ML solutions tailored to Finance use cases such as financial planning ...

As the Applied AI / Machine Learning Engineer, you will play a handson role crafting, developing, deploying, and operating AI and ML solutions tailored to Finance use cases such as financial planning ...

As the Applied AI / Machine Learning Engineer, you will play a handson role crafting, developing, deploying, and operating AI and ML solutions tailored to Finance use cases such as financial planning ...

As the Applied AI / Machine Learning Engineer, you will play a handson role crafting, developing, deploying, and operating AI and ML solutions tailored to Finance use cases such as financial planning ...

We are looking for a developer with a strong academic background who desires to work in the exciting field of financial programming. Develop and enhance client/server trading applications written in ...

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How much do finance engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for finance engineer in the United States is $110,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $124,500.00 per year, depending on experience, location, and employer.

What is the difference between Finance Engineer vs Financial Analyst?

AspectFinance EngineerFinancial Analyst
Required CredentialsBachelor's degree in finance, engineering, or related fields; certifications like CFABachelor's degree in finance, economics, or related fields; CFA often preferred
Work EnvironmentFinancial institutions, investment firms, or tech companies focusing on financial modelingBanking, investment firms, corporate finance departments
Employer & Industry UsageFinance and tech sectors integrating engineering principles into financeTraditional finance sectors analyzing market data and financial performance

Finance Engineers focus on developing complex financial models and algorithms, often combining engineering skills with finance knowledge. Financial Analysts primarily analyze financial data to guide investment and business decisions. While both roles require strong analytical skills and finance credentials, Finance Engineers tend to work more on technical modeling and software development, whereas Financial Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Finance Engineer, and why are they important?

To thrive as a Finance Engineer, you need a solid background in mathematics, finance, and computer science, often supported by a relevant degree such as finance, engineering, or quantitative disciplines. Familiarity with programming languages like Python or R, financial modeling tools, and platforms such as Bloomberg Terminal is typically required, along with certifications like CFA or FRM being advantageous. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret data and collaborate with cross-functional teams. These skills are crucial for developing innovative financial solutions, managing risk, and supporting data-driven decision-making in complex financial environments.

How does a Finance Engineer typically collaborate with cross-functional teams within an organization?

Finance Engineers often work closely with teams such as data analytics, risk management, IT, and portfolio management to develop and implement financial models and automated trading systems. They contribute their quantitative expertise to solve complex financial problems, ensuring that technological solutions align with business goals. Regular communication and collaboration are essential, as Finance Engineers need to translate financial requirements into technical specifications and vice versa. This cross-functional work environment provides valuable opportunities to learn from other disciplines and develop a well-rounded understanding of both finance and technology.

What are Finance Engineers?

Finance engineers, also known as financial engineers or quantitative analysts, use mathematical models, computer science, and statistical techniques to solve financial problems and develop new financial products. They often work for banks, investment firms, hedge funds, insurance companies, or fintech companies, designing algorithms for trading, risk management, and asset valuation. Their expertise helps organizations make data-driven decisions and manage financial risks more effectively.
More about Finance Engineer jobs
What cities are hiring for Finance Engineer jobs? Cities with the most Finance Engineer job openings:
What states have the most Finance Engineer jobs? States with the most job openings for Finance Engineer jobs include:
Infographic showing various Finance Engineer job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $110,812 per year, or $53.3 per hour.
Financial Engineer

Financial Engineer

MerQube Inc

Manhattan, NY • On-site

Full-time

Posted 25 days ago


Job description

MerQube, established in 2019 by executives from globally recognized financial and technology firms, is at the forefront of disrupting the Index creation and systematic investing landscapes. Utilizing state-of-the-art technology and a cloud-based architecture, MerQube empowers clients to bring innovative ideas to market efficiently. As a Financial Engineer at MerQube, you will be part of a dynamic and growing team, contributing to the evolution of the financial industry.
Position Summary:
We are seeking a highly skilled and motivated Financial Engineer to join our team in Manhattan, New York. Reporting to the Financial Engineering Manager, you will play a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies primarily focused on options.
Key Responsibilities:
- Develop, model, and backtest new index strategies using Python, with a focus on financial data management.
- Collaborate with the Financial Engineering team to create MerQube branded financial engines and indexing strategies for major financial institutions.
- Interface directly with clients and the platform engineering team, automating processes for daily and historical calculations to construct powerful financial engines.
- Utilize advanced programming skills, especially in Python, to implement distributed systems and adhere to general software engineering principles.
- Work with options data sets and applications such as FactSet, Reuters.
Qualifications:
- Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience.
- Proficiency in Python programming, with a focus on financial data management.
- Strong options knowledge, including pricing, greeks, and portfolio applications is highly desirable.
- Strong interest in financial markets and the intersection of software and quantitative finance.
- Experience with financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra).
- Excellent communication skills and the ability to collaborate effectively with both clients and internal teams.
What We Offer:
- A stimulating and convivial work environment with ample opportunities for professional growth.
- The freedom to make a real impact in a company at the forefront of financial technology.
- Competitive compensation package with benefits.
If you are a passionate Financial Engineer with a keen interest in disrupting the financial industry using cutting-edge technology, we invite you to join MerQube's journey of innovation. Apply today to be a part of our dynamic team reshaping the future of systematic investing and index creation.
Equal Opportunity Employer:
MerQube is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you're the best person for the job, we want you on board!
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.