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Manager Machine Learning Finance Jobs in Indiana

Senior ML Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

... machine learning initiatives for a leading healthcare technology management company. This team will ... Perform econometric and financial analysis to support capital planning and cost-benefit decisions.

... investment managers and insurers. Singularity provides integrated accounting, operational ... Experience with machine learning applications in financial operations . * Strong proficiency in ...

... Oracle Management Level Manager & Summary A career in our Finance team, within our Oracle ... Machine Learning and Analytics in conjunction with their ERP platform. You will bring a blend of ...

AI Solutions Architect

Indianapolis, IN

$60.25 - $79.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

... machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or equivalent. • Experience working with data processing, feature engineering, and model lifecycle management ...

As a Manager, you will enhance your leadership style by motivating, developing, and inspiring ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

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 ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ... Financial Planning and wellbeing - No matter what financial goals our employees have set, we want ...

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Job Summary : eTeam is a company focused on AI and machine learning solutions, and they are seeking ... managers| data scientists| and business teams to translate requirements into technical solutions ...

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones ... Integrate AI solutions with CRM, ERP, communication, and business systems. * Implement ...

Senior AI Engineer - SFL Scientific

Indianapolis, IN · On-site

$99K - $137K/yr

... machine learning engineers, project managers, and industry experts to develop robust AI ... Work alongside clients every step of the way, helping them navigate new challenges, avoid financial ...

AI Architect

Kokomo, IN · On-site

$100K - $160K/yr

Develop, train, and deploy machine learning models, with a focus on Large Language Models (LLMs ... Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student ...

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Manager Machine Learning Finance information

What does a Manager of Machine Learning in Finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

What are the key skills and qualifications needed to thrive as a Manager of Machine Learning in Finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

How does a Manager of Machine Learning in Finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.
What are popular job titles related to Manager Machine Learning Finance jobs in Indiana? For Manager Machine Learning Finance jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Manager Machine Learning Finance jobs? Cities in Indiana with the most Manager Machine Learning Finance job openings:

$99K - $137K/yr

Other

Posted 11 days ago


Job description

We are building a small, high-impact team to support advanced analytics and machine learning initiatives for a leading healthcare technology management company. This team will focus on predictive modeling, cost optimization, and ROI analysis for clinical asset management and capital planning.
Key Responsibilities

  • Develop and deploy statistical and machine learning models for predictive maintenance, resource optimization, and operational efficiency.
  • Perform econometric and financial analysis to support capital planning and cost-benefit decisions.
  • Design and implement data pipelines for large-scale healthcare datasets (EHR, claims, RTLS, device telemetry).
  • Collaborate with cross-functional teams (clinical engineering, finance, IT) to translate insights into actionable strategies.
  • Ensure compliance with HIPAA and healthcare data governance standards.
Required Qualifications
  • Master's or Ph.D. in Statistics, Economics, Data Science, or related field.
  • 3+ years of experience in ML model development and deployment.
  • Strong foundation in statistical inference, econometrics, and causal analysis (e.g., regression, Bayesian methods, DiD).
  • Proficiency in Python, SQL, and ML frameworks (Scikit-Learn, XGBoost, TensorFlow).
  • Excellent communication skills for presenting insights to technical and business stakeholders.
Preferred Skills
  • Experience with healthcare data (EHR, claims, RTLS).
  • Familiarity with capital planning and ROI modeling.
  • Knowledge of cloud platforms (AWS, Azure) and containerized deployments.