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Phd In Finance Jobs in Delaware (NOW HIRING)

... in a large institution preferred; PHD degrees may offset experience. * Knowledge of modeling ... We Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible ...

... in a large institution preferred; PHD degrees may offset experience. * Knowledge of modeling ... We Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible ...

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

... in people's financial lives. With the strength of Barclays behind us, we offer expanded ... Masters or PhD is preferred * 3+ years' experience analyzing data and delivering business insights ...

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

... in people's financial lives. With the strength of Barclays behind us, we offer expanded ... Masters or PhD is preferred * 3+ years' experience analyzing data and delivering business insights ...

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

... in people's financial lives. With the strength of Barclays behind us, we offer expanded ... Masters or PhD is preferred * 3+ years' experience analyzing data and delivering business insights ...

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

... in people's financial lives. With the strength of Barclays behind us, we offer expanded ... Masters or PhD is preferred * 3+ years' experience analyzing data and delivering business insights ...

... in a similar role within a financial institution. Advising family office clients. PNC is an in ... Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry ...

Showing results 41-60

Phd In Finance information

See Delaware salary details

$11

$20

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How much do phd in finance jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for phd in finance in Delaware is $20.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

What is a PhD in Finance?

A PhD in Finance is a doctoral degree focused on advanced research in financial theory, markets, and quantitative methods. It prepares graduates for careers in academia, research institutions, and high-level industry positions, such as quantitative analysts or policy advisors. The program typically involves coursework in economics, econometrics, and finance, followed by original research culminating in a dissertation. Students develop strong analytical, mathematical, and research skills, making them experts in their field.

What are the key skills and qualifications needed to thrive as a PhD in Finance?

To thrive as a PhD in Finance, you need advanced quantitative analysis skills, deep knowledge of financial theory, and a strong academic background, typically with a doctorate in finance or a related field. Expertise in statistical software (such as Stata, R, or Python), econometric modeling, and familiarity with academic publishing standards are essential. Strong critical thinking, presentation abilities, and collaboration skills help you communicate complex research and work effectively with peers. These competencies are crucial for producing impactful research, teaching effectively, and contributing to both academic and industry advancements.

What types of career paths are available to someone with a PhD in Finance?

A PhD in Finance opens doors to a variety of career paths, including academia, research roles in think tanks, quantitative analysis positions in financial institutions, and policy advisory roles in government agencies. Many graduates pursue tenure-track professorships, where they balance teaching with conducting original research. Others join investment banks, hedge funds, or consulting firms, leveraging their advanced analytical skills to solve complex financial problems. The role often involves collaboration with professionals from economics, statistics, and data science, offering a dynamic and intellectually stimulating work environment.

How much does a PhD in finance make?

A PhD in finance typically earns between $80,000 and $150,000 annually, depending on the industry, location, and experience. Academic positions may offer lower salaries initially but can increase with tenure, while industry roles in finance or consulting tend to pay higher starting salaries. Advanced research skills and knowledge of financial modeling are often required for higher-paying roles.

Is it worth getting a PhD in finance?

A PhD in finance prepares individuals for academic, research, and high-level analytical roles in finance, often requiring strong quantitative skills and familiarity with tools like statistical software. It can lead to careers in academia, research institutions, or specialized industry positions, but it typically involves several years of study and may not be necessary for most finance jobs. The decision depends on career goals and interest in research or teaching roles.

What can I do with a PhD in finance?

A PhD in finance prepares individuals for careers in academia, research, and high-level analytical roles in finance firms, consulting, or government agencies. Graduates often work as university professors, financial analysts, quantitative researchers, or policy advisors, utilizing advanced statistical, mathematical, and economic skills. The degree also enables roles that require deep expertise in financial modeling, risk management, and data analysis.

What are popular job titles related to Phd In Finance jobs in Delaware?

For Phd In Finance jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Phd In Finance jobs in Delaware look for?

The top searched job categories for Phd In Finance jobs in Delaware are:

What cities in Delaware are hiring for Phd In Finance jobs?

Cities in Delaware with the most Phd In Finance job openings:

Infographic showing various Phd In Finance job openings in Delaware as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $42,464 per year, or $20.4 per hour.

Quantitative Analytics Manager - Model Risk Management

Wilmington, DE • Hybrid

OneMain Financial
Finance and Insurance • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


OneMain Financial rating

7.5

Company rating: 7.5 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

Quantitative Analytics Manager - Model Risk Management

Location: Wilmington, DE (Hybrid)

OneMain is seeking a Quantitative Analytics Manager, Model Risk Management (MRM) to help lead and strengthen the firm's Model Risk Management program in alignment with regulatory guidance, including SR 26-2 and OCC supervisory expectations. This role supports a diverse consumer credit portfolio, including Personal Loans, Credit Cards, and Automotive lending.

The position offers a unique opportunity to apply advanced analytics and machine learning expertise while exercising independent challenge across the full model lifecycle. The role also plays a key part in regulatory readiness, audit engagement, and the continued evolution of OneMain's analytical governance framework.

Responsibilities

  • Provide handson model governance oversight across the full model lifecycle, including development, implementation, validation, use, and ongoing monitoring of machine learning models supporting marketing, origination, servicing, and loss mitigation.
  • Perform independent and effective challenge of models, assessing conceptual soundness, data integrity, methodology, assumptions, and limitations. Evaluate key development decisions, including target construction, training versus validation strategies, sampling approaches, performance windows, hyperparameter tuning, model performance metrics, variable selection, and swapset analyses.
  • Provide governance oversight of loss forecasting models
  • Conduct periodic model validations and assess whether validation activities performed by internal teams or third parties meet Model Risk Management policy requirements, including outcomes analysis, benchmarking, and sensitivity testing, as appropriate.
  • Apply analytics, business rules, and other risk tools to monitor model performance and behavior, identify emerging risks or anomalies, and recommend remediation or model enhancements when warranted.
  • Participate in broader artificial intelligence and advanced analytics initiatives in partnership with the data science & technology organization, ensuring appropriate governance and risk controls are embedded from inception.
  • Apply regression, classification, and related statistical techniques to perform deepdive analyses, clearly articulating both statistical and practical significance to inform risk decisions and regulatory communications.

Qualifications

  • Master's degree in a quantitative discipline (Statistics, Mathematics, Data Science, or related field) required; PhD preferred.
  • 5+ years of experience in statistics, data science, decision science, or a related quantitative field.
  • 3+ years of experience building, reviewing, or validating machine learning models within the consumer finance industry.
  • Strong understanding of consumer lending products, credit risk practices, and regulatory expectations related to model risk management.
  • Handson experience with machine learning techniques, particularly treebased models such as XGBoost, and strong analytical "deepdive" capabilities.
  • Proven ability to lead and manage complex, ambiguous projects and provide structured, defensible analytical judgment.
  • Strong written and verbal communication skills, with the ability to explain complex technical concepts to nontechnical stakeholders, auditors, and regulators.
  • Demonstrated intellectual curiosity, strong idea generation, and an interest in research, innovation, and continuous improvement.
  • Experience with analytical fair lending models and analysis is a strong plus
  • Proficiency in Python and SQL; experience with AWS and SageMaker is a strong plus.

Who We Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:

  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances

  • Up to 4% matching 401(k)

  • Employee Stock Purchase Plan (10% share discount)

  • Tuition reimbursement

  • Paid time off (15 days' vacation per year, plus 2 personal days, prorated based on start date)

  • Paid sick leave as determined by state or local ordinance, prorated based on start date

  • Paid holidays (11 days per year, based on start date)

  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.


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