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Backtesting Jobs in Florida (NOW HIRING)

Develop internal processes and artifacts for the corporate development function, including data-driven backtesting of acquisition performance against the original investment thesis. * Qualitative and ...

Develop internal processes and artifacts for the corporate development function, including data-driven backtesting of acquisition performance against the original investment thesis. * Qualitative and ...

Backtesting information

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

To thrive as a Backtesting Analyst, you need a strong background in quantitative analysis, statistics, programming (typically in Python or R), and familiarity with financial markets, usually supported by a degree in mathematics, finance, or a related field. Proficiency with backtesting platforms (such as QuantConnect or Zipline), data analysis tools, and version control systems like Git is often required. Attention to detail, critical thinking, and strong problem-solving abilities are key soft skills that help ensure robust model evaluation and development. These skills are vital for accurately assessing trading strategies and minimizing risk in real-world financial applications.

What is backtesting?

Backtesting is the process of evaluating a trading strategy or investment model by applying it to historical market data. This helps traders and analysts see how the strategy would have performed in the past, which can provide insights into its potential effectiveness and risks. While backtesting can help identify strengths and weaknesses, it's important to remember that past performance is not always indicative of future results. The reliability of backtesting depends on data quality, strategy design, and how well it simulates real trading conditions.

What are some common challenges faced when backtesting trading strategies, and how can they be managed?

One common challenge in backtesting trading strategies is the risk of overfitting, where a model performs exceptionally well on historical data but fails in live markets. Data quality and availability can also pose issues, as incomplete or inaccurate data may skew results. To manage these challenges, it's important to use out-of-sample testing, robust data cleaning processes, and to validate strategies on multiple datasets. Collaborating with quantitative analysts and developers can also help ensure the backtesting process is thorough and reliable.

What is the difference between Backtesting vs Quantitative Analyst?

AspectBacktestingQuantitative Analyst
Primary RoleTesting trading strategies using historical dataDeveloping and implementing quantitative models for investment decisions
Required SkillsData analysis, programming, finance knowledgeMathematics, programming, financial theory
Work EnvironmentTrading firms, hedge funds, financial institutionsAsset management firms, hedge funds, banks
CertificationsOften none required, but CFA or CQF helpfulCFA, CQF, or advanced degrees common

Backtesting focuses on evaluating trading strategies with historical data, while a Quantitative Analyst develops models to inform investment decisions. Both roles require strong analytical skills and finance knowledge but differ in scope and responsibilities.

What are popular job titles related to Backtesting jobs in Florida? For Backtesting jobs in Florida, the most frequently searched job titles are:
Model Validation 2nd LOD Sr. Analyst - C12

Model Validation 2nd LOD Sr. Analyst - C12

Citigroup, Inc.

Tampa, FL • On-site

$117K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Citibank, N.A. seeks a Model Validation 2nd LOD Senior Analyst for its Tampa, Florida location.
Duties: Manage and assess model risk throughout the entire lifecycle of Wholesale Credit Risk models, including initial validation, ongoing performance monitoring, and periodic re-validations/annual reviews. Perform independent and comprehensive validation of Wholesale Credit Risk models, including, but not limited to, those utilizing methodologies such as statistical, numerical, or mathematical approaches for the modeling of PD, LGD, EAD, ECL, and Loan Pricing. Evaluate the completeness, accuracy, and relevance of data inputs used in Wholesale Credit Risk models, including their impact on model outputs and overall performance, with particular attention to data specific to ECL and Loan Pricing projection. Conduct rigorous assessment and effective challenge of model design, underlying assumptions, conceptual soundness, and mathematical formulations, ensuring alignment with industry best practices and regulatory requirements for all relevant model types. Design and execute advanced quantitative and statistical testing, including scenario analysis, stress testing, and backtesting, using programming languages such as Python, R, or SAS, to evaluate model integrity, stability, and predictive performance. Review model performance against macroeconomic conditions based on drivers across different industries, regions, and product types. Analyze the impact of various macroeconomic scenarios on the credit portfolio, particularly when validating models used for stress testing, capital adequacy, and ECL estimation. Produce detailed, transparent, and high-quality model validation reports that clearly articulate findings, limitations, and recommendations, adhering strictly to Model Risk Management Policy and Execution Manuals. Serve as a subject matter expert, effectively representing the bank in discussions with regulatory authorities, internal audit, and external auditors regarding Wholesale Credit Risk model validation findings and model risk management practices, and present complex validation outcomes and model risk assessments to senior management and supervisory bodies. Quantify and communicate model risk associated with identified limitations, providing actionable insights for stakeholders to understand their risk profiles and develop appropriate compensating controls. Collaborate with model development teams, business lines, and other stakeholders to facilitate a robust model lifecycle and ensure effective communication of validation results, while contributing to the continuous enhancement of the bank's Model Risk Management framework and participating in strategic, cross-functional initiatives within the model risk organization. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.
Requirements: Requires a Master's degree or foreign equivalent in Mathematical Finance, Mathematics, Statistics, or related quantitative field 2 years of experience as a Model Developer, Model Validator, Model/Analysis/Validation Senior Analyst, or Quantitative Analyst performing financial model validation and performance testing for a global financial services institution. Alternatively, employer will accept a Bachelor's degree in the above fields and 5 years of progressively responsible experience in the above positions. Full span of experience must include: Validating mathematical and statistical models, including Derivatives Pricing, Monte Carlo Simulation, Ordinary Least Square Regression, Time Series Analysis, Logistic Regression, and Classification; Assessing data inputs used in model development and validation, ensuring the quality and appropriateness of data; Designing and executing Statistical Diagnostic Tests, Scenario Analysis, Stress Testing, Benchmarking, Backtesting, and comprehensive sensitivity analysis on wholesale credit risk models to key macroeconomic risk drivers; Conducting portfolio loss simulations and tests on model convergence and performance using Python/C++; Programming and validating numerical and closed-form pricing models using Python/VBA; and Establishing goodness-of-fit tests including simulation-based collision test for Copula models with quasi-Monte Carlo methods. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26971879. EO Employer.
Wage Range: $117,650 to $130,920
Job Family Group: Risk Management
Job Family: Model Validation
Job Family Group:
Job Family:
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 11, 2026
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