Quantitative Analytics Associate

Description:

KeyBank is seeking a highly analytical and detail-oriented Quant Analytics Associate to join its Quantitative Analytics team. This position is ideal for individuals with a strong foundation in statistics, mathematics, or data science who are eager to apply advanced analytical techniques and computational tools to solve complex business challenges within the financial sector.

Under supervision, the Quant Analytics Associate will support the development and validation of predictive and machine learning models designed to enhance business decision-making. This role requires using data-driven methodologies to answer questions such as “What will happen next?” and “What should we do?” while ensuring model integrity and reliability. The role provides exposure across multiple business segments, fostering professional growth in data literacy, model testing, and quantitative analysis.

Key Responsibilities:

• Conduct quantitative analysis on large and complex datasets with the guidance of senior analysts and managers.

• Identify and correct data inconsistencies and understand their impact on modeling outcomes.

• Employ data wrangling and best practices to evaluate and prepare data for analytical modeling.

• Perform exploratory data analysis to uncover trends, patterns, and anomalies through data visualization techniques.

• Assist in diagnostic testing, such as performance evaluation and assumption verification for predictive models.

• Test model suitability and representativeness under supervision.

• Collaborate with cross-functional teams to translate analytical insights into business solutions.

Qualifications and Skills:

Education:

• Bachelor’s degree in Statistics, Mathematics, Economics, Financial Engineering, Data Science, Predictive Modeling, or related field.

• Master’s or PhD preferred (no prior experience required for advanced degrees).

Technical Skills:

• Proficiency in Python, R, or SAS for data analysis and modeling.

• Understanding of data wrangling, descriptive statistics, and probability distributions.

• Familiarity with model development concepts, including data leakage prevention, training/testing/validation datasets, and diagnostic testing.

• Proficiency in Microsoft Office Suite, particularly Excel for data management and analysis.

• Experience with databases and programming fundamentals (functions, modules, libraries).

Analytical Skills:

• Strong foundation in statistical modeling and quantitative methods.

• Ability to identify data patterns and interpret results to inform strategic decisions.

Soft Skills:

• Developing communication and presentation abilities.

• Strong critical thinking and problem-solving skills.

• Effective collaboration within team environments.

Competencies:

• Leadership: Works under supervision but capable of performing tasks independently.

• Partnering/Influencing: Developing interpersonal and relationship-building skills.

• Business Acumen: Building an understanding of financial and strategic business operations.

• Critical Thinking: Ability to analyze and address low-to-medium complexity issues.

• Communication: Developing written and verbal communication for technical and non-technical audiences.

Compensation and Benefits:

• Base Salary: USD 68,000 – 103,000 annually (USD 5666 – 8583 monthly).

• Incentive Compensation: Eligible based on individual and company performance.

• Benefits Include:

  • Comprehensive health, dental, and vision insurance.

  • Paid time off and holidays.

  • Flexible workspace arrangements and remote options.

  • Professional development and learning opportunities.

  • Inclusive work culture promoting diversity and equity.