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Ai In Finance Jobs in Basking Ridge, NJ (NOW HIRING)

Samaya AI

Product Manager - Finance

New York, NY · Hybrid

$140K - $210K/yr

You'll be the bridge between our Product, ML Research, and Engineering teams: defining real-world financial workflows, curating evaluation datasets, and validating AI outputs in live client pilots.

Pinterest

Financial Analyst II - Sales

Manhattan, NY · On-site

You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are seeking an Analyst of Sales Finance to join our Finance team. You will work on a high ...

Pinterest

Financial Analyst II - Sales

New York, NY · On-site

You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are seeking an Analyst of Sales Finance to join our Finance team. You will work on a high ...

ACG

Business Development Associate

Parsippany, NJ · On-site

$44K - $61K/yr

In 2025, we established ACG AI Labs, an internal team focused on advancing the use of AI in Finance, FP&A and EPM. We have developed some exciting AI solutions that create operational efficiency and ...

ACG

Business Development Associate

Parsippany, NJ · On-site

$44K - $61K/yr

In 2025, we established ACG AI Labs, an internal team focused on advancing the use of AI in Finance, FP&A and EPM. We have developed some exciting AI solutions that create operational efficiency and ...

Artian AI

Senior Software Engineer - Backend

New York, NY · On-site

$150K - $200K/yr

We are an in-person team in New York, building at the intersection of AI, enterprise software, workflow automation, and financial services. We move with urgency, take ownership, communicate ...

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All JobsAi In Finance JobsAi In Finance Jobs in Basking Ridge, NJ

Ai In Finance information

See Basking Ridge, NJ salary details

$25.8K

$95.5K

$139.6K

How much do ai in finance jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai in finance in Basking Ridge, NJ is $95,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $112,300.00 per year, depending on experience, location, and employer.

What is the difference between Ai In Finance vs Data Analyst in Finance?

AspectAi In FinanceData Analyst in Finance
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Finance, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven finance teams, AI development labs, financial institutionsFinancial firms, banks, investment companies, data analysis departments
Employer & Industry UsageFinancial technology companies, banks integrating AI solutionsFinancial services firms analyzing market data, risk, and client information

Ai In Finance focuses on developing and implementing AI solutions within finance, requiring technical and financial expertise. Data Analysts in Finance interpret financial data to support decision-making. While both roles work with financial data, Ai In Finance emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

How do professionals in AI in finance typically collaborate with other departments within a financial institution?

Professionals working in AI in Finance often collaborate closely with teams such as risk management, compliance, and data engineering. They work together to define business requirements, ensure the quality and security of financial data, and interpret AI models’ results for practical decision-making. Effective communication is key, as AI specialists must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative environment fosters innovation and helps drive solutions that align with both regulatory standards and business goals.

What is AI in finance?

AI in finance refers to the use of artificial intelligence technologies and machine learning algorithms to automate, enhance, and optimize various financial services and processes. This includes applications such as fraud detection, algorithmic trading, credit risk assessment, customer service chatbots, and personalized financial advice. By leveraging large datasets and advanced analytics, AI can improve decision-making, reduce operational costs, and deliver more accurate and timely financial insights. Many financial institutions are increasingly adopting AI to stay competitive and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as an AI professional in finance?

To thrive as an AI professional in Finance, you need a strong background in data science, machine learning, quantitative analysis, and finance, often supported by degrees in computer science, mathematics, or finance. Familiarity with programming languages like Python or R, experience with AI/ML frameworks (such as TensorFlow or PyTorch), and understanding of financial systems or regulatory standards are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These skills are vital for developing robust AI solutions that drive financial insights, improve decision-making, and ensure regulatory compliance.
What cities near Basking Ridge, NJ are hiring for Ai In Finance jobs? Cities near Basking Ridge, NJ with the most Ai In Finance job openings:
Ai In Finance jobs near you

Product Manager - Finance

Samaya AI

New York, NY • Hybrid

$140K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Role

As one of Samaya's Finance Product Managers, you'll own the domain strategy that helps investment professionals find actionable insights in vast, noisy datasets. You'll be the bridge between our Product, ML Research, and Engineering teams: defining real-world financial workflows, curating evaluation datasets, and validating AI outputs in live client pilots. Your expertise will directly shape the platform's capabilities in valuation, modeling, and due diligence.

This is a hands-on role for someone who already knows finance deeply and wants to shape how AI does that work, rather than advise on it from a distance. Your financial judgment sets the standard the product is held to, and you should expect to be in the detail day to day, in a fast-moving startup where the playbook is still being written.

Responsibilities

Product & Domain

  • Translate financial workflows - turn investment banking, private equity, buy-side, and sell-side research workflows into product requirements and success metrics
  • Author playbooks - codify best practices for AI-assisted financial analysis
  • Surface insights - bring high-signal findings back to inform roadmap priorities

Evaluation & Pilots

  • Build the evals - design proprietary benchmarks, test suites, and datasets for model evaluation
  • Partner with ML Research - work with researchers to refine models, shape prompt strategies, and validate outputs against expert standards
  • Run client pilots - co-pilot pilots with leading financial institutions, gather feedback, and iterate fast
  • Work in the detail - grade answers and audit agent execution traces; getting models to do expert financial work involves a lot that looks like associate-level work
Experience

Required

  • Institutional Finance Background - 3+ years at a top-tier investment bank, hedge fund, asset manager, or buy-side/sell-side research team (equity research included)
  • Deep finance expertise - strong command of one or more of financial modeling, valuation, capital markets research, and deal execution
  • Translates ambiguity - proven ability to turn ambiguous problems into clear requirements and measurable outcomes
  • Exceptional communicator - clear written and verbal communication with senior stakeholders
  • Genuine AI fluency - you use AI in your work concretely, not just in passing

Preferred

  • Technical fluency - hands-on scripting in Python or SQL for data analysis
  • Both sides of research - exposure to both sell-side and buy-side research models
  • Startup exposure - prior experience at a fast-growing fintech or AI startup
Compensation

The cash compensation range for this role is $140,000 - $210,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

In addition to the base salary, we may consider equity as part of our total compensation package.

Benefits

Health: Access comprehensive health insurance, including medical, dental, vision, flexible spending account (FSA), and short-term disability.

Wealth: Support for your long-term financial wellbeing with a 401(k) and pre-tax benefits (e.g. commuting).

Rest: Enjoy flexibility to rest and recharge as needed, with unlimited PTO (Paid Time Off).

Flexibility: Work flexibly with a hybrid setup - typically team members spend a minimum of three days in the office per week.

Travel: Grow and connect with a travel budget that encourages conference attendance, customer visits, and team gatherings.

Equipment: Create your ideal workspace with an office Equipment allowance to set up what works best for you.

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