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Quantitative Risk Intern Jobs in Texas (NOW HIRING)

BSI Financial Services

Capital Markets Intern

Irving, TX · On-site

$15.50 - $20/hr

This role provides hands-on exposure to credit risk, loss modeling, and portfolio performance ... Strong analytical and quantitative skills * Proficiency in Microsoft Excel; experience with large ...

Base Power Company

Quantitative Developer Intern

Austin, TX · On-site

$19 - $25/hr

As an intern, you'll work on high-impact problems critical to Base's success and deliver solutions ... Risk & Trading: Base also enters into financial contracts to hedge against volatility in ...

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Quantitative Risk Intern information

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

To thrive as a Quantitative Risk Intern, you need strong analytical skills, a solid understanding of statistics and probability, and progress toward a degree in finance, mathematics, or a related field. Familiarity with programming languages like Python or R, experience using statistical software, and knowledge of risk management frameworks are typically expected. Attention to detail, effective communication, and a proactive approach to problem-solving are valuable soft skills in this role. These competencies are crucial for accurately assessing financial risks and supporting data-driven decision-making in a fast-paced environment.

What types of projects or tasks can a Quantitative Risk Intern expect to work on during their internship?

As a Quantitative Risk Intern, you can expect to contribute to projects involving data analysis, financial modeling, and risk assessment for various portfolios or products. Typical tasks include gathering and cleaning large datasets, running statistical analyses, developing or refining risk models under supervision, and preparing reports to communicate findings to senior team members. Interns often collaborate closely with risk analysts, quantitative researchers, and sometimes IT teams, gaining exposure to both technical and business aspects of risk management. This hands-on experience provides valuable insight into industry-standard tools and methodologies, preparing you for a potential full-time role in quantitative finance.

What are Quantitative Risk Interns?

Quantitative Risk Interns are students or recent graduates who assist risk management teams in financial institutions by applying mathematical, statistical, and programming skills to analyze and manage financial risks. They typically work on projects that involve modeling risk exposures, stress testing portfolios, and supporting the development of risk management tools. This role provides hands-on experience with risk assessment processes, financial data analysis, and exposure to industry-standard software and methodologies. Interns also have the opportunity to learn from experienced risk professionals and gain insight into the decision-making processes that help institutions mitigate financial risks.
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Quantitative Risk Intern jobs near you
Quantitative Researcher Intern

Quantitative Researcher Intern

VWH Capital Management

Dallas, TX

Full-time

Posted yesterday

Job description

Company Description

Recruiters: Please do not contact individuals.  Please review our position on LinkedIn for further instructions.

VWH Capital Management, LP ("VWH") is an SEC-registered investment advisor and private equity firm with multi-billion dollars in assets under management. The firm is the winner of the 2023 Private Equity Wire US Emerging Manager Award for Best Performance: Debt. VWH is a major player in the U.S. distressed residential mortgage loan space and seeks to generate long-term returns in whole loans, distressed credit, and securitized products. VWH is headquartered in Dallas. For more information visit www.vwhcapital.com.

Job Description

VWH is seeking to hire a Quantitative Research Intern to work with the firm's analytics and investment team. This role will work closely with key stakeholders and contribute to the continued growth and success of VWH's residential mortgage and securities business as well as new opportunities and strategies. Ultimately, a successful candidate will be considered for full-time employment upon completion of their internship and degree.

Responsibilities
Conduct empirical analysis on residential mortgage performance including prepayment, default, loss severity and transition matrix based on large scale of loan level data
Develop a full spectrum of statistical models including prepayment, default, loss severity and multi-step transition models to analyze loan performance
Conduct full-scale backtests including in-sample and out-of-sample tests for models developed
Coordinate with the analytics team to implement statistical models and apply to investment decision making
Assist in exploring models for new investment products
Communicate to senior management on model attributes, performance, forecasts and risk/valuation implications
Other duties as assigned.

Qualifications

Holding or working toward a PhD in Statistics, Economics, Finance or other related quantitative fields
Proficiency in statistical and econometric modeling, such as survival analysis, time series models, logistic regression, multinomial logistic regression, Monte Carlo simulation, as well as machine learning
Hands on experience in working with large scale data sets
Familiarity with financial mathematics, knowledge of mortgage analytics is a plus
Proficiency in R/Python/Java or other statistical software packages.
Ability to manage multiple tasks and deliver high quality work in a dynamic environment
Ability to work in Uptown Dallas office
US work authorization is required. The firm will sponsor H1B for full-time employees.
 

Additional Information

VWH offers competitive compensation during the internship program.

VWH Capital Management, LP is an equal opportunity employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic prohibited by applicable law.

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