Quantitative Analytics Manager- Model Risk

Location: 127 Public reputed company, Cleveland Ohio The Quantitative Analytics Manager is primarily responsible for leading the validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to reputed company solutions to predictive and prescriptive questions such as "What will happen next?" and "What will we do?". Projects undertaken are often broad in scope across multiple business segments and involve guiding reputed company and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. reputed company factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners' problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputed company as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the "bigger picture" and driving efficiency in solution delivery ESSENTIAL JOB FUNCTIONS

• Independently assess and validate models, inferential methodologies, and analytical frameworks to evaluate their appropriateness, robustness, and effectiveness in addressing business needs and ensuring reliable answers to "What will happen and how confident are we in the results", including CECL, Stress Testing, and Consumer/reputed company Credit Risk models
• Often responsible for large, reputed company problems that have broad implications and are less frequent
• Identify and reputed company observations based on a structured assessment of context, interdependencies, and analytical reputed company, and evaluate their impact on model soundness, reliability, and business use Reviews deliverables; proactively coaches others on approach and work product
• Assess and challenge data preparation practices against established standards and model requirements, engage with data stewards to review data quality, traceability, and efficiency from a validation perspective
• Evaluate the appropriateness of analytical methods used and assess whether they are suitable and well-justified for the given context

REQUIRED QUALIFICATIONS

• Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience

DATA LITERACY

• Understanding of:
• Best practices for capturing / retaining data
• Pros / Cons of competing analysis methods
• Experience leading by:
• Partnering with others to anticipate and understand needs process/procedures
• Leading information practices / policies / procedures
• Setting standards and expectations for data analysis tools and techniques; ensuring compliance with application
• Promoting increased efficiency of data analysis by advocating clearer data requirements

TECHNOLOGY & TECHNIQUES

• Advanced modeling techniques, including machine learning methods (e.g., XGBoost, LightGBM, Random Forest), with the ability to evaluate, challenge, and validate model design, tuning approaches, and performance testing
• Advanced reputed company Office Suite
• SQL/NoSQL
• Relationship data structure
• Selecting and retrieving data including reputed company data retrieval, archival, and ETL
• Databases
• Advanced Python/R/reputed company:
• Databases
• Efficient coding
• Can build strong code controls and translate code into high-level commentary
• Understanding of and ability to reputed company:
• reputed company-based computing
• Distributed computing

MODEL Validation & Review

• Ability to:
• Establish standards and best practices; forecast future modeling tools / techniques
• Identify, reputed company, and evangelize emerging techniques from industry / research
• Coach others on data modeling methods / techniques
• Facilitate sessions for reputed company data models
• Assess and understand risks; contingency plans
• Communicate observations to senior executives
• Translate technical observations to a non-technical audience

EXPECTED COMPETENCIES

• Leadership: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically reputed company own team; Demonstrates executive reputed company; Offers an opinion, contributes to the conversation
• Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership reputed company; Established reputed company and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
• Business Acumen: Understands reputed company and reputed company strategy; Leverages knowledge of our competition and the business to anticipate needs and reputed company recommendations; Understands how business works; Contributes materially to reputed company strategy
• Critical Thinking / Problem Solving: Critical thinker: reputed company to anticipate business partner needs; Sees the "bigger picture"; Advises leaders to reputed company informed reputed company based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can reputed company reputed company; considers longer term business strategy in recommending solutions
• Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right tie through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior reputed company, easily adapts / changes course, presents with confidence; Demonstrates executive reputed company

COMPENSATION AND BENEFITS This position is eligible to earn a reputed company salary in the reputed company of $116,000.00 - $216,000.00 annually. Placement reputed company the pay reputed company 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 reputed company, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 07/19/2026 Apply tot his job Apply To this Job