Business Modeling - Applied AI ML Senior Associate

Aumni; Columbus (OH); On-site; USD 85,000 - 115,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Flexible working arrangements

Job summary

TwinThread is seeking an Applied AI ML Senior Associate in Columbus, OH, to contribute to the Consumer Business Modeling team. The role involves utilizing advanced quantitative techniques on large datasets, generating actionable insights, and mentoring junior team members. Ideal candidates should hold an advanced degree in relevant fields, have experience in machine learning, and possess strong communication skills. We offer competitive rewards and a supportive work environment that values diversity and inclusion.

Qualifications

• Advanced degree in a quantitative field required; Ph.D. is a plus.
• Outstanding communication skills to present findings and influence stakeholders.
• Experience in machine learning and statistical models to solve complex problems.
• Proficient in Python and able to work with large datasets.

Responsibilities

• Apply critical thinking and perform advanced analytics on business problems.
• Generate insights from data analysis and make actionable recommendations.
• Contribute to the full modeling lifecycle and communicate results effectively.
• Mentor junior team members and share innovative ideas.

Skills

Advanced statistical modeling skills

Machine learning development

Strong problem-solving abilities

Proficient in Python

Communication skills

Education

Ph.D. in Statistics, Data Science, Engineering or equivalent

Tools

Hadoop

Spark

Job description

Join a team that consists of an intellectually diverse group of economists, statisticians, engineers, and other analytics professionals, focused on applied AI and quantitative modeling.

As an Applied AI ML Senior Associate, within the Consumer Business Modeling team you will utilize cutting edge quantitative and computational techniques and leverage one of the world’s largest repositories of consumer data.

Job Responsibilities

• Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
• Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.
• Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results.
• Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.
• Become a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline.
• Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.
• Mentor junior team members.

Required Qualifications, Capabilities, and Skills

• Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics, or equivalent quantitative field. Ph.D. is a plus.
• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
• Experience in developing machine learning, optimization, and/or statistical models to solve real world problems (e.g. Classification, Regression, Recommender Systems, Natural Language Processing, or Neural Language Modeling).
• Proficiency in at least one programming language is required, with Python preferred.
• Strong analytical, interpretive, and problem‑solving skills, with demonstrated ability of thinking outside the box.
• Significant experience working with very large scale (structured and unstructured) data.

Preferred Qualifications, Capabilities, and Skills

• Familiarity with big-data environments (e.g. Hadoop, Spark).
• Model development experience on a cloud development platform.
• Banking & Financial Services background or experience.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer / Disability / Veterans