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The role will bring expertise in mapping business requirements to model design, application of regression, artificial intelligence and machine learning methodologies (broadly, AI/ML), utilization of Monte Carlo, bootstrapping, Bayesian techniques, strategic decision making, and regulatory engagement to influence enterprise practices, lead cross-functional initiatives, and drive data-driven outcomes. + Lead development of credit and fraud decisioning models for acquisition, account management, and adoption in partner strategies, leveraging deep knowledge of credit use cases to prioritize modeling efforts and manage the model inventory in alignment with business objectives.

YEAR

Job Description: Role Summary/Purpose: The SVP, Customer Facing Model Development ,will lead the development, deployment, and governance of credit and fraud scoring/decisioning models and managing strategic frameworks across customer-facing model types. This leader will own the end-to-end integration of credit and fraud customer-facing models with operational strategies, business expansion and product generation. The leader will also ensure compliance with model risk governance, model performance monitoring and monitoring against financial and risk objectives. The role will bring expertise in mapping business requirements to model design, application of regression, artificial intelligence and machine learning methodologies (broadly, AI/ML), utilization of Monte Carlo, bootstrapping, Bayesian techniques, strategic decision making, and regulatory engagement to influence enterprise practices, lead cross-functional initiatives, and drive data-driven outcomes. Additionally this role will require someone who can drive innovation in cloud-based modeling infrastructures, model lifecycle automation, and the application of AI and technology to enhance and accelerate model development. _Our Way of Working_ _We're proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or to come into one of our offices. Occasionally you may be required to commute to a hub or an office for in person engagement activities such as business or team meetings, training and culture events._ Essential Responsibilities + Lead development of credit and fraud decisioning models for acquisition, account management, and adoption in partner strategies, leveraging deep knowledge of credit use cases to prioritize modeling efforts and manage the model inventory in alignment with business objectives. + Understand and map credit journeys for a variety of retail credit products, understand model approaches to adapt to each journey, and apply creative solutions to challenges. + Oversee all phases of model development, from business requirements, data evaluation, model design, methodology selection to model development, model documentation, model validation, implementation and monitoring. + Guide teams in exploring and deploying innovative AI/ML modeling techniques, while ensuring transparency and explainability. + Identify and help design opportunities for optimizing the model lifecycle, including the use of AI/GenAI solutions, code standardization, CI/CD frameworks, cloud-based automation, automation of governance controls, etc. + Oversee the quality of comprehensive model documentation and ensure adherence to model governance standards. + Establish standard guidelines for model development documentation analysis and narratives. + Drive cross-functional collaboration with credit, growth, marketing, fraud, risk and technology teams. + Support the SVP of Model Development COE in regulatory, audit, and senior management interactions, representing customer-facing model development activities as needed. + Manage model inventory and change processes; identify opportunities for simplification and reuse. + Oversee responses to validation, audit, and regulatory inquiries and drive timely issue resolution. + Manage and mentor a high-performing team, including direct oversight of VPs across key functional areas such as Acquisition, Account Management, TNF (True-Name Fraud), and TF (Transaction Fraud). + Develop and engage with regulators for periodic exams. + Perform other duties and/or special projects as assigned. Qualifications/Requirements: + Bachelor's degree in a quantitative or technical discipline (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering); advanced degree (MS, MBA, or PhD) strongly preferred. + 10+ years of experience in credit risk modeling, machine learning, or related analytics roles within the financial services industry, with at least 5 years in a senior leadership role. + Proven track record in developing, implementing, and overseeing customer-facing credit models across the customer lifecycle-including acquisition, account management, credit line changes, fraud detection, and collections. + Experience in identify opportunities for improvement and innovation across the model lifecycle, including leveraging new technologies, AI, and techniques. + Demonstrated success leading large-scale model development initiatives across multiple portfolios, business lines, or partner segments. + Experience in building and managing model inventories, standardizing documentation practices, and driving simplification or model reuse efforts. + Proficiency in programming and data analysis tools (e.g., Python, R, SAS, SQL) and experience working with large structured and unstructured datasets. + Proven ability to influence enterprise-wide modeling practices and collaborate with cross-functional stakeholders in credit, marketing, fraud, finance, risk and technology. Desired Characteristics: + Exceptional verbal and written communication skills demonstrated through executive and cross-functional stakeholder engagement, detailed-oriented documentation, and visual storytelling. + Advanced critical thinking skills in analytical problem-solving and the ability to use data to break down complex models. + Strong project management and leadership skills to achieve specific goals within a defined timeline and budget. + Ability to effectively share knowledge by translating complex, technical subject matter and providing actionable coaching and feedback across all levels. + Strong business acumen and familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies). Grade/Level: 16 The salary range for this position is 235,000.00 - 390,000.00 USD Annual. This position is also eligible for an Annual Incentive Plan target of 30% of salary and an Annual Equity target of 30% of salary. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle. Eligibility Requirements: + You must be 18 years or older + You must have a high school diploma or equivalent + You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process + You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act. + New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations). Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment: When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow. This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all. Reasonable Accommodation Notice: + Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. + If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time Job Family Group: Credit

Synchrony

SVP, Customer Facing Model Development

OTHER

FEED

Novelis is committed to the Kennesaw community and supports a number of local charitable organizations including Habitat for Humanity as well as FIRST Robotics aimed at encouraging young people to pursue the Science Technology Engineering and Mathematics (STEM) fields in order to spur the next generation of scientists and innovators. Location Profile: Novelis’ Global Research and Technology Center located in Kennesaw Georgia within the greater Atlanta metropolitan area is a cutting-edge full-service research and technology hub that employs approximately 200 people including world-class engineers metallurgists chemists scientists technologists and technicians.

Position Overview:
Novelis is one of the world leaders in aluminum recycling and rolling and a leading sustainable aluminum solutions provider. Driven by our purpose of shaping a sustainable world together, we work alongside our customers to provide innovative solutions to the aerospace, automotive, beverage packaging and specialty markets. Headquartered in Atlanta, Georgia, Novelis has approximately 13,000 employees in 32 operating facilities on 4 continents.

Responsibilities & Qualifications:
The Lead Modeling Scientist has a key role in advancing Novelis’ capabilities in computational modeling, with the primary objective of linking aluminum sheet process conditions, microstructure and texture evolution, and material properties. This work will support faster product innovation across various markets in which Novelis operates, as well as improved plant performance. The role requires an unique combination of deep expertise in metallurgy and materials science, coupled with advanced modeling proficiency. The position focuses on predictive modeling, which is integrated with experimental validation and data analytics to optimize manufacturing processes for aluminum products. As a key member of Novelis’ Americas R&D organization, the Lead Modeling Scientist will spearhead the development and deployment of multi-physics, multi-scale materials modeling and physics-guided AI modeling capabilities. These efforts are critical for accelerating the development of sustainable products and processes. Central to the role is bridging microstructural length scales as applied to Novelis’ products—including sheet and plate—and to the company’s manufacturing processes such as casting, rolling, and heat treatments. The position will also focus on developing a deeper understanding of the relationships among alloy chemistry, thermomechanical processing, microstructure, properties, and overall product performance.<h2 style="text-align:justify">Responsibilities:</h2><ul style="text-align:justify"><li>Develop and maintain Integrated Computational Materials Engineering (ICME) models that connect process parameters, microstructure, and properties for flat aluminum sheet products, including processes such as homogenization, heat treatment, precipitation, recrystallization, texture development and grain growth.</li><li>Design and implement multi-scale models to link process parameters with microstructure and properties for casting, rolling, heat treatment, coating, CASH, batch annealing and related processes relative to Flat Rolled Aluminum Products.</li><li>Constitutive behavior models: Flow stress, work hardening, strain rate sensitivity</li><li>Formability & failure prediction models: FLD, FLC, earing, spring-back, bendability</li><li>Create and refine process simulation tools using methods such as finite element, finite difference, cellular automata, and phase-field modeling to predict thermal and mechanical behavior.</li><li>Integrate modeling results with experimental characterization techniques (including SEM, EBSD, XRD, DSC) and plant data to validate predictions and continually improve model accuracy.</li><li>Build thermodynamic and kinetic models using tools like Thermo-Calc, DICTRA, TC-Prisma, and Pandat to support alloy design and process optimization.</li><li>Lead end-to-end modeling projects, from scoping and model development through validation and deployment, with the goal of improving or innovating aluminum sheet products and processes across beverage packaging, automotive, specialties, and aerospace markets.</li><li>Automate workflows for predicting microstructure-property relationships and incorporate feedback from plant trials to enhance model robustness.</li><li>Collaborate with plant engineers and R&D teams to apply models for troubleshooting and improving productivity, recovery, and quality.</li><li>Document methodologies and results in technical reports and contribute to intellectual property through invention disclosures and patents.</li></ul><h2 style="text-align:justify">Required Qualifications</h2><ul style="text-align:justify"><li>Advanced degree (M.S. or Ph.D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling.</li><li>Expertise in metallurgy and materials science, as well as process and microstructure modeling for metallic systems, especially aluminum alloys. Flat rolled aluminum products experience is largely preferred</li><li>Proficiency in modeling software such as Thermo-Calc, DICTRA, TC-Prisma, and Pandat, and in numerical methods including finite element, finite difference, cellular automata, and phase-field modeling.</li><li>Programming skills in MATLAB, FORTRAN, and C/C++, along with proficiency in statistical analysis tools like JMP and R.</li><li>Strong understanding of metallurgical principles and characterization techniques.</li><li>Excellent technical communication and project management skills.</li><li>Proven track record of solving plant issues through modeling with measurable business impact.</li><li>Experience deploying predictive models in production environments to improve throughput and quality.</li></ul><h2 style="text-align:justify">Preferred Qualifications</h2><ul style="text-align:justify"><li>Machine Learning for materials: Property prediction, Process window optimization, Defect classification</li><li>Digital twin development: End-to-end process-to-property simulation</li><li>High-performance computing (HPC): Parallel simulations, cloud computing</li><li>Data pipelines & model deployment: MLOps, version control, model governance</li><li>DOE (Design of Experiments)</li><li>Multi-variable regression & sensitivity analysis</li><li>Model calibration & uncertainty quantification</li></ul>Please note that we are unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship<h2 style="text-align:justify">What We Offer:</h2>Novelis benefits say a lot about how we care for each other. Our employees and their families have many different needs. As a result, our benefits offer choices on many levels and are high in quality, competitive in the marketplace, and affordable. These are a few of the benefits we offer to support you and your family’s well-being:<ul style="text-align:justify"><li>Medical, dental and vision insurance</li><li>Health savings accounts – Company Funded Health Savings Account (HSA) and Health Reimbursement Account (HRA)</li><li>Flexible Spending Account (FSA)</li><li>Company-paid basic life insurance and Additional voluntary life coverage</li><li>Paid vacation and competitive personal time off</li><li>401(k) savings plan with company match</li><li>Retiree Medical Plans – medical and prescription drug coverage through Novelis sponsored Retiree Health Access</li><li>Retirement Savings Account</li><li>Employee assistance programs – available 24/7 to you and your family</li><li>Wellness and Work Life Support - career development and educational assistance</li></ul><h2 style="text-align:justify">Disclaimer:</h2>We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information:<ul><li style="text-align:justify">Check the job posting is live and valid via our careers page: <a href="https://www.novelis.com/careers/" rel="noopener nofollow noreferrer" target="_blank">Careers - Novelis</a></li><li style="text-align:justify">Verify any communication with us by contacting our talent team at interviews@novelis.co</li></ul>

Location Profile:
Novelis’ Global Research and Technology Center located in Kennesaw Georgia within the greater Atlanta metropolitan area is a cutting-edge full-service research and technology hub that employs approximately 200 people including world-class engineers metallurgists chemists scientists technologists and technicians. The facility includes state-of-the-art lab equipment and a diverse mix of product pilot lines that bring innovative solutions to customers in the automotive beverage can and specialty markets. Kennesaw provides a diverse and family-friendly place to live with countless museums cultural opportunities and educational institutions. Novelis is committed to the Kennesaw community and supports a number of local charitable organizations including Habitat for Humanity as well as FIRST Robotics aimed at encouraging young people to pursue the Science Technology Engineering and Mathematics (STEM) fields in order to spur the next generation of scientists and innovators. Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and applicants. All terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal provincial or local laws.

Disclaimer:
We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information: 1. Check the job posting is live and valid via our careers page: <a href="https://www.novelis.com/careers/" rel="noopener nofollow noreferrer" target="_blank">Careers - Novelis</a> 2. Verify any communication with us by contacting our talent team at interviews@novelis.com

Novelis Global R&T

Lead Modeling Scientist

Aerospace and Defense

Analysis Skills

Artificial Intelligence (AI)

Beverages

Business Model

C Programming Language

C++ Programming Language

Career Development

Casting

Cellular Automata

Chemistry

Cloud Computing

Communication Skills

Community Support

Computational Engineering

Computer Programming

Data Analysis

Data Management

Data Modeling

Dental Insurance

Employee Assistance Plan

Experiment Design

Fortran Programming Language

Health Plan

Heat Treatment

High Availability

Identify Issues

Intellectual Property (IP)

Invention Disclosures

Laboratory Equipment

MATLAB

Machine Learning

Manufacturing Analysis

Manufacturing/Industrial Processes

Material Science

Materials Engineering

Mathematics

Mechanical Engineering

Metallurgy

Model Validation

Patents

Performance Management

Physics

Predictive Modeling

Prescription Drugs

Problem Solving Skills

Process Improvement

Process Modeling

Process Sheet

Product Development

Product Support

Production Systems

Productivity Management

Project/Program Management

Quality Management

R Programming Language

Recycling

Research & Development (R&D)

Robotics

Search Engine Marketing (SEM)

Simulation

Source Code/Configuration Management (SCM)

Statistics

Stress Modeling

Sustainability

Technical Research

United States Department of Energy (DOE)

Vision Plan

X-Ray Diffraction

[AW]-iCims

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