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Quantitative Financial Engineer Jobs (NOW HIRING)

SS&C

Quantitative Financial Engineer

Windsor, CT · On-site

Quantitative Financial Engineer (SS&C Technologies, Inc.; Windsor, CT) (Multiple Positions): The Quantitative Financial Engineer is responsible for applying mathematical and statistical techniques to ...

MerQube Inc

Financial Engineer

Manhattan, NY · On-site

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

MerQube Inc

Financial Engineer

New York, NY

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

Engineers Gate

Quantitative Researcher

$150K - $200K/yr

Master's degree (US or Foreign Equivalent) in Financial Engineering or a related field and two (2) ... quantitative finance concepts, statistics, and financial markets; mid-frequency alpha research ...

iCapital

Quant Engineer - Vice President

New York, NY · On-site

$180K - $210K/yr

Develop robust and scalable quantitative financial models and collaborate closely with quant ... Strong programming skills in Python for data analysis, modeling, and software development * Strong ...

iCapital

Quant Engineer - Vice President

New York, NY · On-site +1

$180K - $210K/yr

Develop robust and scalable quantitative financial models and collaborate closely with quant ... Strong programming skills in Python for data analysis, modeling, and software development * Strong ...

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Financial Engineering * Operations Research * Economics * Quantitative Finance * Related quantitative discipline Preferred: Master's or PhD Professional Experience Minimum 3+ years in one or more of ...

OPTWISE CONSULTING LLC

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Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Financial Engineering * Operations Research * Economics * Quantitative Finance * Related quantitative discipline Preferred: Master's or PhD Professional Experience Minimum 3+ years in one or more of ...

Conventus

Financial Engineer

Westlake Village, CA · On-site

$107K - $132K/yr

Financial Engineer Location: CA - Westlake Village What you'll do: As a Financial Engineer, you ... Design and implement quantitative frameworks spanning data mining, predictive modeling, and large ...

Beacon Health System

Quantitative Analyst

Baltimore, MD · On-site

$150K/yr

Bachelor's degree in Computer Science, Mathematics, Quantitative Finance, Physics, Engineering, Financial Engineering, Statistics, or a similar discipline. * 3-5 years of relevant work experience in ...

Sun West Mortgage-Since 1980

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Financial Analyst / Financial Engineer

Cerritos, CA · On-site

We are hiring Financial Analysts / Engineers to operate at the intersection of quantitative modeling, risk management, and high-performance system optimization. This is a deep-ownership role where ...

1823 Partners

Quantitative Developer - ALM

New York, NY · On-site

$175K - $200K/yr

Bachelor's degree in Mathematics, Engineering, Computer Science, Finance, or a related quantitative field * FSA, CFA or an advance degree is preferred * Proficiency in Python and SQL; experience with ...

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Quantitative Financial Engineer information

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$11K

$129.7K

$198K

How much do quantitative financial engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for quantitative financial engineer in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What are Quantitative Financial Engineers?

Quantitative Financial Engineers, often known as 'quants,' are professionals who use advanced mathematical models, statistical techniques, and programming skills to analyze financial data and develop strategies for pricing, trading, and risk management in financial markets. They play a crucial role in investment banks, hedge funds, and other financial institutions by creating models that help optimize trading strategies and manage financial risks. Quants typically have strong backgrounds in mathematics, physics, engineering, or computer science, and are proficient in programming languages such as Python, R, or C++. Their work supports decision-making in areas like algorithmic trading, derivatives pricing, and portfolio management.

What is the difference between Quantitative Financial Engineer vs Quantitative Analyst?

AspectQuantitative Financial EngineerQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or engineering; certifications like CFA or FRMTypically similar; advanced degrees preferred, certifications optional
Work EnvironmentDevelops models, algorithms, and trading systems; often in tech-driven finance firmsAnalyzes data, assesses risk, and supports trading strategies; in investment banks or asset management
Employer & Industry UsageHired by hedge funds, investment banks, proprietary trading firmsEmployed across asset management, banks, and financial institutions

While both roles require strong quantitative skills and advanced education, Quantitative Financial Engineers focus on developing complex models and trading algorithms, often working in tech-driven environments. Quantitative Analysts primarily analyze data and support trading decisions. The roles are complementary but differ in focus and responsibilities.

How does a Quantitative Financial Engineer typically collaborate with traders and software developers in daily workflows?

Quantitative Financial Engineers often work closely with traders to understand their strategies and translate trading ideas into mathematical models. They also collaborate with software developers to ensure these models are efficiently implemented into trading systems, requiring clear communication and iterative feedback. This cross-functional teamwork is essential to quickly adapt to changing market conditions and maintain robust trading infrastructure. As a result, strong interpersonal skills and the ability to explain complex quantitative concepts to non-specialists are key to success in this role.

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

To thrive as a Quantitative Financial Engineer, you need strong mathematical and statistical skills, advanced programming abilities (often in Python, C++, or R), and a degree in quantitative fields such as mathematics, finance, engineering, or physics. Familiarity with financial modeling software, statistical analysis tools, and platforms like MATLAB or Bloomberg Terminal is typically required, along with certifications such as CFA or FRM being advantageous. Exceptional problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are essential soft skills in this field. These competencies are vital for developing accurate financial models, managing risk, and supporting data-driven investment decisions in a competitive financial environment.
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Quantitative Financial Engineer

Quantitative Financial Engineer

SS&C

Windsor, CT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Quantitative Financial Engineer (SS&C Technologies, Inc.; Windsor, CT) (Multiple Positions): The Quantitative Financial Engineer is responsible for applying mathematical and statistical techniques to study, measure, and evaluate financial instruments, financial markets and the behavior of market participants. This role typically revolves around the design, development, construction of mathematical models and analytical approaches designed to provide insight into complex financial systems. Specific responsibilities include: Provide support to clients (mainly Hedge Fund Risk Managers) regarding the content and the production of risk reports: answer queries on risk exposures, measures, scenarios, Value-At-Risk calculations and models used within the risk system. Create ad hoc SQL and Python scripts to extract data out of the risk system to facilitate investigations. Work together closely with the risk development team to test and validate new pricing models and enhancements. Reconcile client expectations with the numbers reported by our system using alternate systems such as Bloomberg and/or in house Excel add in libraries. Coordinate and actively participate in the setting up of new clients on the risk platform and configuring the risk engine to conduct the set of analyses as required. Identify and address any ad hoc issues regarding the production of risk reports and escalating to the appropriate team. Provide input and feedback for the continuous enhancement of the system. Telecommuting permitted.

Minimum requirements: Bachelor's degree or equivalent in Mathematics, Applied Science, Business, Finance, Economics or related field plus 2 years of experience in an engineering role. Alternatively, will accept a Master's degree or equivalent in Mathematics, Applied Science, Business, Finance, Economics or related field.

Must have: Knowledge of cross asset class financial instruments modeling and pricing (equity/FX options, bonds, futures, interest-rate swaps, CDS, etc.). Strong understanding of risk management techniques, VaR approaches (Historical, Monte-Carlo) and sensitivity measures (option greeks, DV01, PVO1, etc.). Basic understanding of trading strategies across all major asset classes and hedge fund investment styles. Strong analytic skills and logical reasoning/problem solving. Strong understanding of SQL or Python (Pandas), Excel macros and Bloomberg. Strong understanding of modern programming language and database management concepts. Client-facing experience with excellent written and verbal communication skills.

Apply online at https://www.ssctech.com/about-us/careers or send resume to: Angela Lamar, Talent Acquisition, SS&C Technologies, Inc., alamar@sscinc.com. Ref: 00092349. An EOE.

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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

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