In-Person event

Scaling Precision: Fast, Flexible Portfolio Optimization for Retail Investing

November 5-6, 2024

In-Person event

Scaling Precision: Fast, Flexible Portfolio Optimization for Retail Investing

November 5-6, 2024

In-Person event

Scaling Precision: Fast, Flexible Portfolio Optimization for Retail Investing

November 5-6, 2024

At the Gurobi Summit in Amsterdam, Dr. Andrea Baggio, Head of Optimization Services at swissQuant, shared how the company leverages cutting-edge optimization techniques to revolutionize financial services.

By embedding Gurobi's solver into their systems, swissQuant delivers scalable, robust solutions that make advanced wealth management accessible to a broader audience.

Here’s how they’ve cracked the code on balancing complexity and performance in portfolio optimization.

Challenge: Making Sophisticated Tools More Accessible

The financial sector has traditionally reserved sophisticated advisory and investment tools for high-net-worth individuals, leaving everyday investors underserved. swissQuant faced the challenge of making these tools accessible to retail clients while preserving the precision and performance expected in private banking.

Another hurdle? Sustainability. Clients increasingly demand solutions that align with environmental, social, and governance (ESG) goals, adding another layer of complexity to optimization models.

Solution: Smart Design Meets Powerful Tools

swissQuant tackled these challenges with a modular approach powered by Gurobi. They designed a framework that allows for flexibility, tailoring optimization models to specific client needs without reinventing the wheel for every use case. By integrating sustainability constraints alongside traditional financial goals, swissQuant created systems that align performance with client values.

To manage complexity, swissQuant adopted an incremental approach, introducing constraints step-by-step. This ensures computational feasibility while maintaining high accuracy. For example, they embed risk management and performance goals first, layering in sustainability objectives as the system refines the solution.

Bridging the Gap

Dr. Baggio emphasized the importance of balancing technical precision with human-centric design. Financial tools must be both sophisticated and easy to understand. The swissQuant system achieves this by speaking the "language" of its users, integrating human oversight into its models, and offering solutions that are intuitive and accessible.

Performance is another highlight. swissQuant’s optimization models are designed to reduce unnecessary transactions, improve explainability, and handle multiple use cases seamlessly. By breaking down complex problems into manageable components, they ensure that their solutions deliver reliable results under real-world conditions.

The Power of Democratized Wealth Management

One of swissQuant’s biggest wins is making high-quality portfolio management available to retail investors. Their system bridges the gap between private banking exclusivity and everyday accessibility. With Gurobi's solver at its core, swissQuant’s solutions empower users with dynamic, easy-to-use tools that were previously reserved for the elite.

Moreover, their commitment to ESG integration reflects a forward-thinking approach. Clients can now optimize portfolios for both performance and sustainability, proving that ethical investing doesn’t mean sacrificing results.

Future-Proof Solutions in Finance

swissQuant’s work highlights a critical shift in the financial world: making complex optimization accessible, understandable, and scalable. Their collaboration with Gurobi showcases the power of technology to democratize wealth management while addressing modern challenges like sustainability.

By embedding performance-driven, human-centered solutions into their systems, swissQuant has set a benchmark for innovation in financial optimization.

At the Gurobi Summit in Amsterdam, Dr. Andrea Baggio, Head of Optimization Services at swissQuant, shared how the company leverages cutting-edge optimization techniques to revolutionize financial services.

By embedding Gurobi's solver into their systems, swissQuant delivers scalable, robust solutions that make advanced wealth management accessible to a broader audience.

Here’s how they’ve cracked the code on balancing complexity and performance in portfolio optimization.

Challenge: Making Sophisticated Tools More Accessible

The financial sector has traditionally reserved sophisticated advisory and investment tools for high-net-worth individuals, leaving everyday investors underserved. swissQuant faced the challenge of making these tools accessible to retail clients while preserving the precision and performance expected in private banking.

Another hurdle? Sustainability. Clients increasingly demand solutions that align with environmental, social, and governance (ESG) goals, adding another layer of complexity to optimization models.

Solution: Smart Design Meets Powerful Tools

swissQuant tackled these challenges with a modular approach powered by Gurobi. They designed a framework that allows for flexibility, tailoring optimization models to specific client needs without reinventing the wheel for every use case. By integrating sustainability constraints alongside traditional financial goals, swissQuant created systems that align performance with client values.

To manage complexity, swissQuant adopted an incremental approach, introducing constraints step-by-step. This ensures computational feasibility while maintaining high accuracy. For example, they embed risk management and performance goals first, layering in sustainability objectives as the system refines the solution.

Bridging the Gap

Dr. Baggio emphasized the importance of balancing technical precision with human-centric design. Financial tools must be both sophisticated and easy to understand. The swissQuant system achieves this by speaking the "language" of its users, integrating human oversight into its models, and offering solutions that are intuitive and accessible.

Performance is another highlight. swissQuant’s optimization models are designed to reduce unnecessary transactions, improve explainability, and handle multiple use cases seamlessly. By breaking down complex problems into manageable components, they ensure that their solutions deliver reliable results under real-world conditions.

The Power of Democratized Wealth Management

One of swissQuant’s biggest wins is making high-quality portfolio management available to retail investors. Their system bridges the gap between private banking exclusivity and everyday accessibility. With Gurobi's solver at its core, swissQuant’s solutions empower users with dynamic, easy-to-use tools that were previously reserved for the elite.

Moreover, their commitment to ESG integration reflects a forward-thinking approach. Clients can now optimize portfolios for both performance and sustainability, proving that ethical investing doesn’t mean sacrificing results.

Future-Proof Solutions in Finance

swissQuant’s work highlights a critical shift in the financial world: making complex optimization accessible, understandable, and scalable. Their collaboration with Gurobi showcases the power of technology to democratize wealth management while addressing modern challenges like sustainability.

By embedding performance-driven, human-centered solutions into their systems, swissQuant has set a benchmark for innovation in financial optimization.

At the Gurobi Summit in Amsterdam, Dr. Andrea Baggio, Head of Optimization Services at swissQuant, shared how the company leverages cutting-edge optimization techniques to revolutionize financial services.

By embedding Gurobi's solver into their systems, swissQuant delivers scalable, robust solutions that make advanced wealth management accessible to a broader audience.

Here’s how they’ve cracked the code on balancing complexity and performance in portfolio optimization.

Challenge: Making Sophisticated Tools More Accessible

The financial sector has traditionally reserved sophisticated advisory and investment tools for high-net-worth individuals, leaving everyday investors underserved. swissQuant faced the challenge of making these tools accessible to retail clients while preserving the precision and performance expected in private banking.

Another hurdle? Sustainability. Clients increasingly demand solutions that align with environmental, social, and governance (ESG) goals, adding another layer of complexity to optimization models.

Solution: Smart Design Meets Powerful Tools

swissQuant tackled these challenges with a modular approach powered by Gurobi. They designed a framework that allows for flexibility, tailoring optimization models to specific client needs without reinventing the wheel for every use case. By integrating sustainability constraints alongside traditional financial goals, swissQuant created systems that align performance with client values.

To manage complexity, swissQuant adopted an incremental approach, introducing constraints step-by-step. This ensures computational feasibility while maintaining high accuracy. For example, they embed risk management and performance goals first, layering in sustainability objectives as the system refines the solution.

Bridging the Gap

Dr. Baggio emphasized the importance of balancing technical precision with human-centric design. Financial tools must be both sophisticated and easy to understand. The swissQuant system achieves this by speaking the "language" of its users, integrating human oversight into its models, and offering solutions that are intuitive and accessible.

Performance is another highlight. swissQuant’s optimization models are designed to reduce unnecessary transactions, improve explainability, and handle multiple use cases seamlessly. By breaking down complex problems into manageable components, they ensure that their solutions deliver reliable results under real-world conditions.

The Power of Democratized Wealth Management

One of swissQuant’s biggest wins is making high-quality portfolio management available to retail investors. Their system bridges the gap between private banking exclusivity and everyday accessibility. With Gurobi's solver at its core, swissQuant’s solutions empower users with dynamic, easy-to-use tools that were previously reserved for the elite.

Moreover, their commitment to ESG integration reflects a forward-thinking approach. Clients can now optimize portfolios for both performance and sustainability, proving that ethical investing doesn’t mean sacrificing results.

Future-Proof Solutions in Finance

swissQuant’s work highlights a critical shift in the financial world: making complex optimization accessible, understandable, and scalable. Their collaboration with Gurobi showcases the power of technology to democratize wealth management while addressing modern challenges like sustainability.

By embedding performance-driven, human-centered solutions into their systems, swissQuant has set a benchmark for innovation in financial optimization.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

  • Pawit Singcornrum

    Account Executive, Renewals-Japan

    Image

    Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.


    Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.


    In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing. 

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

  • Image

    Account Executive, Renewals-Japan

    Pawit Singcornrum

    Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.


    Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.


    In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing. 

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

Speakers

Meet Your Expert Speaker

Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

  • Pawit Singcornrum

    Account Executive, Renewals-Japan

    Image

    Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.


    Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.


    In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing. 

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.