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Backtesting Jobs in Ohio (NOW HIRING)

Backtesting information

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 skills and qualifications are needed to thrive as a backtesting analyst?

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 are 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 Ohio?

For Backtesting jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Backtesting job openings in Ohio as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 76% In-person, 10% Hybrid, and 14% Remote job distribution.

Lead Treasury Analyst - IRR Forecasting & Analytics

Cleveland, OH • On-site

$63K - $96K/yr

Other

Posted 6 days ago


Job description

Location: 127 Public Square, Cleveland Ohio

Within the Asset and Liability Management Group in the Corporate Treasury Department, the Lead Treasury ALM Analyst position will report to the Interest Rate Risk (IRR) Manager. The IRR team is responsible for measuring, monitoring, and managing interest rate risk, producing balance sheet forecasts, performing analysis to inform strategy and Treasury decision-making, and communicating key insights to governing committees and the Board. This role sits on the ALM production team and is directly responsible for executing components of the monthly IRR production cycle within the QRM Framework, a centralized platform for balance sheet and IRR modeling. The position works closely with data and technology teams to load and validate market inputs, run models, and analyze outputs used for key risk and strategic decisions. In addition to production execution, the role focuses on post-model analysis, including evaluating assumptions, performing sensitivity and stress testing, backtesting, and ensuring compliance with controls. The analyst will identify opportunities to improve and automate processes, leveraging tools such as Python and SQL to reduce manual effort and increase efficiency. A key component of the role is translating complex model outputs into clear, concise insights. The analyst will present results, trends, and key drivers to Treasury leadership and cross-functional partners, simplifying technical concepts to support decision-making. This position partners closely with Funding, Liquidity, Capital, and Market Strategy teams and contributes to balance sheet modeling for the Strategic Plan and CCAR process.

ESSENTIAL JOB FUNCTIONS
  • Support interest rate risk management and forecast IRR metrics, including exposure measurement, hedging analysis, and stress testing
  • Execute portions of the monthly IRR production process, including model runs, input validation, and output analysis
  • Model the balance sheet in QRM to support interest rate risk, funding, liquidity, and capital analysis
  • Partner with data and technology teams to support model inputs and improve process execution
  • Evaluate and sensitivity test key model assumptions and assess impact on results
  • Perform detailed post-model analysis using Excel and other tools to interpret trends and drivers
  • Support validation of new data sources and framework enhancements
  • Identify and implement automation opportunities using Python, SQL, or similar tools
  • Ensure appropriate documentation and adherence to internal controls
  • Work with oversight groups and participate in governance routines
  • Participate in the Treasury Strategy Committee (ALCO subcommittee)
OTHER VALUE ADD FUNCTIONS
  • Maintain awareness of market and economic conditions and reflect insights in analysis
  • Drive process improvements and identify efficiency opportunities
  • Create clear, concise presentation materials that translate complex outputs into business insights
  • Present results and key drivers, clearly communicating risks and implications
  • Support strategy discussions around hedging and balance sheet management
  • Enhance reporting through improved visualization and usability
REQUIRED QUALIFICATIONS
  • Strong knowledge of ALM cash flow forecasting and valuation software (QRM or similar)
  • 2 or more years of banking or financial services experience with exposure to ALM or IRR
  • Strong financial modeling and analytical skills, with the ability to work with complex models
  • Bachelor’s Degree required; preferred background in Finance, Economics, Mathematics, or related field
  • Advanced Excel skills with experience in quantitative analysis
  • Strong communication skills with the ability to simplify complex concepts
PREFERRED QUALIFICATIONS
  • Experience with ALM platforms such as QRM or Empyrean
  • Experience enhancing or supporting modeling environments and data integration
  • Experience with Python, SQL, or similar tools for data analysis and automation
  • Experience with financial reporting systems (e.g., Workday, Essbase)
  • Exposure to presenting analytical results, with strong interest in developing storytelling skills
COMPETENCIES/SKILLS
  • Strong teamwork, organization, and ability to manage multiple priorities
  • Problem-solving mindset with focus on continuous improvement
  • Strong analytical curiosity and interest in Treasury and quantitative risk management
  • Ability to break down complex models and communicate insights clearly
DEVELOPMENT OPPORTUNITIES
  • Hands-on exposure to interest rate risk management, ALM production, and balance sheet strategy
  • Opportunity to build technical and automation skillsets within Treasury
  • Path to becoming a subject matter expert in ALM and Interest Rate Risk in the Banking Book
  • Exposure to senior stakeholders through analysis and presentation work
COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $63,000.00 - $96,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 10/02/2026

KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

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