About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Smartkarma’s Boost Research Provides Business Accelerator for Investment Analysts

Subscribe to our newsletter

Smartkarma, an investment research network for independent research providers, has introduced Boost Research, an accelerator programme designed to support investment analysts who want to start independent research businesses, improve the supply of independent research to the market, and increase the variety of opinions in research to help investment decisions and lead to better outcomes for end investors.

Boost builds on changes in the provision of sell-side investment research made by MiFID II research unbundling and allows analysts wanting to take advantage of these changes to set up on their own with Boost de-risking the move to work independently. The accelerator offers a range of support from subsidised office services to financial support, mentorship and access to regulatory cover, initially from the Smartkarma London office. Participants can also benefit from Smartkarma’s platform providing data, publishing tools and distribution of research to its network of 165 global buy-side institutions.

The rules on joining the programme require applicants to have five-plus years of front-office experience, a focus on either the EU IPO market or emerging markets, an understanding of the use of technology in research applications, and an interest in differentiated delivery mechanisms.

Mark Artherton, head of research at Boost Research, says: “We are dedicated to growing the independent analyst landscape around the world to enhance the variety of opinion available to investors. At a time when sell-side analysts are facing an uncertain future, we are taking these skilled analysts and empowering them to build a sustainable business.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

BMLL and Features Analytics Target Surveillance Benchmarking with Level 3 Order Book Data

BMLL and Features Analytics have partnered to develop new trade surveillance benchmarking and market integrity analytics built on reconstructed historical order book data, signalling a shift towards more measurable, performance-driven surveillance frameworks. Under the agreement, Features Analytics will build and commercialise surveillance benchmarking products on top of BMLL’s harmonised historical Level 3, 2 and 1...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

The DORA Implementation Playbook: A Practitioner’s Guide to Demonstrating Resilience Beyond the Deadline

The Digital Operational Resilience Act (DORA) has fundamentally reshaped the European Union’s financial regulatory landscape, with its full application beginning on January 17, 2025. This regulation goes beyond traditional risk management, explicitly acknowledging that digital incidents can threaten the stability of the entire financial system. As the deadline has passed, the focus is now shifting...