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

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

The ‘More Data Is Better’ Myth

By Edgar Randall, Head of Europe, Dun & Bradstreet. For years, business leaders have been told that data is their greatest asset. Collect more of it, connect more sources, and better decisions will follow. However, as organisations accelerate their investment in AI, analytics and digital transformation, this long-held assumption is starting to be challenged. The...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

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...