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Banking & FInancial Services

Turn Financial Complexity Into a Competitive Advantage

Use mathematical optimization to improve performance, manage risk, and unlock greater value across your organization

Banking & FInancial Services

Turn Financial Complexity Into a Competitive Advantage

Use mathematical optimization to improve performance, manage risk, and unlock greater value across your organization

Banking & FInancial Services

Turn Financial Complexity Into a Competitive Advantage

Use mathematical optimization to improve performance, manage risk, and unlock greater value across your organization

Why financial institutions choose Gurobi

Leading financial institutions use Gurobi to solve their most complex optimization challenges, from portfolio construction and risk management to large-scale investment research.

✔ Numerically robust for sophisticated financial models
✔ Trusted in fixed income and equity investing
✔ Advanced portfolio construction, including discrete constraints, cardinality constraints, and transaction costs
✔ Faster, high-quality solutions for trading and rebalancing decisions
✔ Works with existing risk models

Why financial institutions choose Gurobi

Leading financial institutions use Gurobi to solve their most complex optimization challenges, from portfolio construction and risk management to large-scale investment research.

✔ Numerically robust for sophisticated financial models
✔ Trusted in fixed income and equity investing
✔ Advanced portfolio construction, including discrete constraints, cardinality constraints, and transaction costs
✔ Faster, high-quality solutions for trading and rebalancing decisions
✔ Works with existing risk models

Why financial institutions choose Gurobi

Leading financial institutions use Gurobi to solve their most complex optimization challenges, from portfolio construction and risk management to large-scale investment research.

✔ Numerically robust for sophisticated financial models
✔ Trusted in fixed income and equity investing
✔ Advanced portfolio construction, including discrete constraints, cardinality constraints, and transaction costs
✔ Faster, high-quality solutions for trading and rebalancing decisions
✔ Works with existing risk models

Common Financial Services Use Cases

Asset Allocation

Portfolio Index-tracking

Scenario Back-testing

Retail Loan & Credit Card Offerings

Liquidity & Cash Management

Collateral Allocation Management

ATM & Branch Network Location Determination

ATM Cash Transfer Efficiencies

Fraud Cost Reduction

Pricing & Strategy

Model Governance & Compliance

Interested in learning how Gurobi works in the Financial Sector with real-world examples?

Optimizing Fixed-Income Portfolios for Better Investment Outcomes

See how Robeco uses Gurobi to automate portfolio optimization, improve efficiency, and help deliver stronger risk-adjusted returns for investors.. 

Hear from your peers

Case Studies

  • Case Studies

    OneChronos: Using Optimization and Combinatorial Auctions to Innovate Modern Trading

    OneChronos uses combinatorial auction optimization to reduce trading inefficiencies and execution risk in modern markets.

  • Case Studies

    SwissQuant: Portfolio Optimization

    SwissQuant generates optimal private banking portfolios in seconds, giving advisors real-time, personalized investment plans.

  • Case Studies

    Arute Solutions: Cash+ Keeps ATMs Optimally Stocked

    Arute Solutions minimizes ATM idle cash and operating costs by optimizing visit schedules across bank networks.

Hear from your peers

Case Studies

  • Case Studies

    OneChronos: Using Optimization and Combinatorial Auctions to Innovate Modern Trading

    OneChronos uses combinatorial auction optimization to reduce trading inefficiencies and execution risk in modern markets.

  • Case Studies

    SwissQuant: Portfolio Optimization

    SwissQuant generates optimal private banking portfolios in seconds, giving advisors real-time, personalized investment plans.

Hear from your peers

Case Studies

  • Case Studies

    OneChronos: Using Optimization and Combinatorial Auctions to Innovate Modern Trading

    OneChronos uses combinatorial auction optimization to reduce trading inefficiencies and execution risk in modern markets.

  • Case Studies

    SwissQuant: Portfolio Optimization

    SwissQuant generates optimal private banking portfolios in seconds, giving advisors real-time, personalized investment plans.

  • Case Studies

    Arute Solutions: Cash+ Keeps ATMs Optimally Stocked

    Arute Solutions minimizes ATM idle cash and operating costs by optimizing visit schedules across bank networks.

Forrester Report

Use mathematical optimization to boost profitability and efficiency

Download the Forrester Mathematical Optimization Financial Services Study to learn how financial institutions are harnessing the power of mathematical optimization to see significant benefits, such as the ability to increase profits and gain a competitive advantage.

Forrester Report

Use mathematical optimization to boost profitability and efficiency

Download the Forrester Mathematical Optimization Financial Services Study to learn how financial institutions are harnessing the power of mathematical optimization to see significant benefits, such as the ability to increase profits and gain a competitive advantage.

Forrester Report

Use mathematical optimization to boost profitability and efficiency

Download the Forrester Mathematical Optimization Financial Services Study to learn how financial institutions are harnessing the power of mathematical optimization to see significant benefits, such as the ability to increase profits and gain a competitive advantage.

Frequently Asked Questions


Portfolio optimization, such as the mean-variance model, helps investors construct portfolios that maximize expected return for a given level of risk or minimize risk given a specified level of expected returns. Additionally, to make problems more realistic, adding discrete constraints, like minimum buy-in or diversification may be needed. These models often involve quadratic or mixed-integer programming, making them a perfect fit for solvers like Gurobi.

Frequently Asked Questions


Portfolio optimization, such as the mean-variance model, helps investors construct portfolios that maximize expected return for a given level of risk or minimize risk given a specified level of expected returns. Additionally, to make problems more realistic, adding discrete constraints, like minimum buy-in or diversification may be needed. These models often involve quadratic or mixed-integer programming, making them a perfect fit for solvers like Gurobi.

Start Solving with Gurobi

Try Gurobi on your own optimization models and see how it performs on real decision problems.

Start Solving with Gurobi

Try Gurobi on your own optimization models and see how it performs on real decision problems.

Start Solving with Gurobi

Try Gurobi on your own optimization models and see how it performs on real decision problems.

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© Gurobi Optimization, LLC. All Rights Reserved.

Join our newsletter to stay up to date on features releases and more.

By subscribing you agree to with our Privacy Policy

© Gurobi Optimization, LLC. All Rights Reserved.