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Machine Learning Finance Jobs in Connecticut (NOW HIRING)

Knowledge of Credit Card/Consumer Finance products and business model. * Experience with Machine Learning / AI methodologies and related applications, including generative AI model validation and ...

Entry-Level Machinist

Wallingford, CT · On-site

$16.25 - $19.75/hr

... Learning machine operation and capabilities of multiple machines o Running multiple pieces of ... As a growth company with a solid financial position, we are committed to training, promoting from ...

Entry-Level Machinist

Wallingford, CT · On-site

$16.25 - $19.75/hr

... Learning machine operation and capabilities of multiple machines o Running multiple pieces of ... As a growth company with a solid financial position, we are committed to training, promoting from ...

Internship, coursework, or project experience in finance, data analytics, or programming is a plus but not required. * Familiarity with machine learning, predictive modeling and big data framework a ...

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ...

Showing results 41-60

Machine Learning Finance information

See Connecticut salary details

$23.8K

$88.1K

$128.9K

How much do machine learning finance jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning finance in Connecticut is $88,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $103,700.00 per year, depending on experience, location, and employer.

Can machine learning be used in finance?

Machine learning finance roles involve applying algorithms to analyze financial data, detect patterns, and make predictions for trading, risk management, and fraud detection. Professionals in this field often use tools like Python, R, and specialized libraries, and require strong statistical and programming skills. These applications improve decision-making and operational efficiency in financial institutions.

What are the key skills and qualifications needed to thrive in machine learning finance, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are popular job titles related to Machine Learning Finance jobs in Connecticut? For Machine Learning Finance jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Connecticut look for? The top searched job categories for Machine Learning Finance jobs in Connecticut are:
Infographic showing various Machine Learning Finance job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 21% Part Time, 4% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $88,119 per year, or $42.4 per hour.

$100K - $170K/yr

Full-time

Re-posted yesterday


Synchrony Financial rating

9.0

Company rating: 9.0 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

2nd of 150 rated financial services


Job description

Role Summary/Purpose:

The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role requires high level of expertise with minimal technical supervision, requiring the ability to lead validation projects, take accountability for validation results across various model categories, and make meaningful contributions to projects.

Essential Responsibilities:

  • Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine learning algorithms and traditional logistic regression techniques.
  • Perform the full scope end-to-end validation independently for assigned internally and vendor developed new models and existing models.
  • Lead/Perform the review and maintenance of relevant model and validation documentation, perform in depth analysis on large data sets and reports to support discussions on key analytics and model risks..
  • Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and resolve problems independently.
  • Collaborate with the Synchrony Financial business teams to uncover and highlight risk associated with models.
  • Keep pace with the latest model developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the Synchrony Financial functions.
  • Support regulatory examinations and internal audits of the modeling process and selected models samples.
  • Provide technical consultation and process improvement to model risk management on recommended solution based on solid research in the academic and industry practice.
  • Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

  • Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial services, banking, or retail.
  • 4+ years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake, H2O, SageMaker and AWS.
  • 4+ years of statistical analysis and the handling large amounts of data and analyzing for trends.
  • 4+ years of experience with the application of US regulatory requirements for Model Risk Management.
  • Ability and flexibility to travel for business as required

Desired Characteristics:

  • Strong knowledge of Regulatory requirements for Model Risk Management with proven track records of delivering Regulatory requirements.
  • 5+ years of proven experience in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline.
  • Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables.
  • Sharp focus on accuracy with extreme attention to detail.
  • Knowledge of Credit Card/Consumer Finance products and business model.
  • Experience with Machine Learning / AI methodologies and related applications, including generative AI model validation and validation framework development.
  • Excellent written and oral communication and presentation skills.

Grade/Level: 10

The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

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.

Our Way of Working:

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events. 

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

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

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