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

Bloomberg Adopts Stealth Approach to Add Evaluated Pricing Service to Data Arsenal

Subscribe to our newsletter

Acknowledging its lack of reliable pricing data for illiquid securities, Bloomberg is quietly building a team of analysts in preparation for a product launch in the pricing evaluations business. The move follows the lead of long-time evaluations provider Interactive Data Corp. (FT Interactive Data) and recent moves by Reuters, Standard & Poor’s and others, and underscores the growing acceptance of evaluated pricing services as identified by A-Team’s recent survey Fixed Income Pricing: Are Evaluations Gaining Value?

Bloomberg has hired evaluations business veteran John Lynch to head the team of analysts. Lynch previously ran the EJV (Electronic Joint Venture) evaluations data provider before and during its ownership by Bridge Information Systems. EJV is now owned by Reuters – it was one of the key components it secured through the Bridge acquisition – and forms the backbone of Reuters’ recent push in the evaluations space (Reference Data Review, September 2005).

The evaluations data initiative will significantly bolster Bloomberg’s pricing data offering across the enterprise, by using analysts to hand price and validate pricing, and adjust models in real time based on changing market conditions. This will be an improvement on its current ‘blackbox’ approach to pricing illiquid securities where it uses computerised models to calculate a price based on a number of generic inputs. This approach fills holes in the range of coverage but it does not provide a high degree of accuracy or reliability to clients, which is becoming increasingly important in today’s regulatory environment, hence the growing acceptance for evaluated pricing.

It also plays to Bloomberg’s strengths as a dominant provider in fixed income data, the asset class with the highest degree of illiquid securities in need of pricing. It is not yet known whether Bloomberg will look at other areas, such as derivatives, highlighted as a segment desperately in need of independent pricing data, but the company is said to be in discussions with the likes of Numerix, a specialist provider of derivatives pricing engines, about potential partnerships.
Lynch will oversee a team of upwards of 50 people, according to sources, based primarily in Bloomberg’s data operations center in Princeton, New Jersey. It is also believed that some staff will be based in New York and London, suggesting an international flavour for the evaluations service. Lynch reports to Zackery Cohen, who is leading the product development efforts for Bloomberg.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating a Complex World: Best Data Practices in Sanctions Screening

As rising geopolitical uncertainty prompts an intensification in the complexity and volume of global economic and financial sanctions, banks and financial institutions are faced with a daunting set of new compliance challenges. The risk of inadvertently engaging with sanctioned securities has never been higher and the penalties for doing so are harsh. Traditional sanctions screening...

BLOG

Data Management Summit London Sees Leaders Take on Critical Issues

A-Team Group’s 16th annual Data Management Summit London brought together data leaders from the world’s largest financial institutions to discuss the biggest data and technology issues and trends within their industry. Hundreds of delegates from all over the world gathered to hear the latest thoughts of practitioners in keynote addresses and panel discussions before breaking...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...