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Ally Financial Careers

General information

Career area
Technology
Work Location(s)
601 S. Tryon Street, NC
Remote?
No
Ref #
21580
Posted Date
01-23-26
Working time
Full time

Ally and Your Career

Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?

Work Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.

The Opportunity

As a leader in digital financial services, our customer and employee experiences run on data. Our cloud-based data, analytics, and AI platform fuel these journeys and help nearly 10,000 leaders and employees make countless data-driven decisions every day. Our data scientists develop ML solutions that help generate revenue, enhance user experience, and ensure that state-of-the-art GenAI systems run safely and securely.  

We are seeking highly skilled Data Scientists to join our growing team. This role will support enterprise initiatives across machine learning model development, Responsible AI, governance, and emerging generative AI innovations. You will partner with business stakeholders, technology teams, and risk partners to deliver high-quality ML solutions and tools, and ensure responsible, effective deployment of AI solutions. 
 
Successful candidates will be hands-on with data and modeling, while also demonstrating strong communication skills and the ability to influence across a complex organization. 

The Work Itself

In this role, you will lead the development and deployment of cutting-edge machine learning and generative AI/agent solutions that drive business transformation. You will design and implement advanced models utilizing experimentation, multi-modal data, and the latest AI techniques to solve complex problems and unlock new opportunities. As a technical expert and innovator, you will collaborate closely with cross-functional teams to ensure our AI systems are robust, responsible, and deliver measurable impact.  

You will also lead the architectural design and development of state-of-the-art machine learning, generative AI, and agent systems that enhance user experience, drive revenue, and ensure operational excellence. 

  • Lead experimentation initiatives, leveraging A/B testing, and novel AI approaches to continuously improve model performance and business outcomes. 
  • Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment. 
  • Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems. 
  • Incorporate sophisticated algorithms, experimental design, and emerging AI methodologies to solve real-world challenges and push the boundaries of innovation. 
  • Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage. 

The Skills You Bring

Required:
  • 5+ years of experience in machine learning and data science. 
  • Bachelor's degree. 
  • Strong coding skills in Python 
  • Familiarity with cloud data environments such as AWS, Snowflake, Sagemaker, etc.  
  • Demonstrated technical leadership in developing and delivering AI/ML solutions in a production setting.  
  • Strong collaboration skills and growth mindset. 

Nice-to-Haves:  
  • Graduate degree. 
  • GitHub handle and repositories. 
  • Hands-on GenAI/agent and ML engineering experience e.g. using LangChain, Hugging Face, vector databases etc. 
  • Familiarity with Responsible AI principles, governance frameworks, or Model Risk Management especially in a finance setting. 
  • Experience in working with multiple partners and driving consensus.
#LI-Hybrid

How We'll Have Your Back

Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including:

  • Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level).
  • Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access.
  • Supporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.
  • Building a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back-up child and adult/elder care days and childcare discounts.
  • Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.
  • Other compensations: depending on the role for which you are considered, you may be eligible for travel allowances, relocation assistance, a signing bonus and/or equity.
  • To view more detailed information about Ally’s Total Rewards, please visit this link: https://www.ally.com/content/dam/pdf/corporate/ally-total-rewards-snapshot.pdf
 

Who We Are:

 

Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit www.ally.com.

 

Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law.

 

We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at hrpolicy@ally.com. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation.

Base Pay Range: $110000 - $180000 USD
An individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer. 
Incentive Compensation: This position is eligible to participate in our annual incentive plan.
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