S&P Global Quantitative Specialist - Investment Management in Virtual, India
The Investment Management Quantitative Specialist will be expected to identify, analyze, and propose solutions specific to the technical and quantitative capabilities offered by S&P Global Market Intelligence.
Each Specialist becomes a knowledge expert in the ClariFI Platform, the quantitative - quantamental products offered through Market Intelligence and the associated technology used to support client solutions. This role drives revenue growth and client retention by working with Sales, Relationship Management, Product Management, and Product Operations to promote Market Intelligence s quantitative solutions to the Capital Market segments.
What s in it for you:
Design and deliver technical solutions to internal and external clients.
Act as a regional Investment Management market feedback consolidation source for regional product, content, and delivery enhancements. Work closely with Product Management to provide feedback and rank enhancement requests.
Provide product training to clients, and document technical client interactions in Salesforce to share with the broader organization.
Learn and understand new datasets as they are deployed through the Xpressfeed loader, ClariFI, or other mechanism, and communicate the advantages of these datasets effectively to clients and prospects.
The Investment Management Quantitative Specialist is a client-facing representative for S&P Global Market Intelligence. Their responsibilities include:
Act as a product specialist for the ClariFI Platform by understanding the application of ClariFI for complex buy side workflows, conducting training, troubleshooting problems, answering product questions, and providing complex daily product support to a client base of equity research analysts, portfolio managers, data scientists and risk management professionals.
- Advise users on financial modeling, numerical analysis, and process efficiencies. Responsible for all quantitative engineering, account management and pre-sales activity for clients of our institutional products and services, particularly the ClariFI Platform, and the quantitative - quantamental products offered by S&P Global Market Intelligence.
Assist the trial process with a thorough understanding of the client s workflow, and how Market Intelligence s content; feed and platform solutions (including ClariFI and various enterprise delivery platforms) may enhance that workflow.
Conduct product demos as needed and help to design the best solution to fit a prospect s or client s needs.
Develop a complete understanding of competitors products and be able to articulate Market Intelligence s relative capabilities.
Facilitate a positive experience for the client by bringing together the appropriate resources within Market Intelligence and the client s organization.
Possess a firm understanding of the diagnostic sales process and employ its principles and techniques when engaging with a prospect or client. Understand the commercial pricing model and the client s use of platforms and data to inform pricing.
- What we re looking for:*
Backgrounds vary among Investment Management Quantitative Consultants, but a mixture of finance and technical skills are necessary. Market data specialists from the buy-side, technical and content experts at other market data vendors, and equity Portfolio Managers - Research Analysts are actively being sought for this role. More junior candidates are also considered who are able to learn quickly and work independently within a team framework.
Good understanding of the equity investment process (with a focus on quantitative security analysis)
Degree in a numerate discipline such as Finance, Accounting, Economics, or equivalent experience is required or
- Degree in a technical discipline such as Computer Science, Science or Engineering.
Excellent communication, training and presentation skills.
CFA Charter holder - candidate or Masters in Financial Engineering (or related discipline) is a plus.
Mastery of various scripting languages (Python, R, Matlab, etc) and - or other computer systems engineering is a plus.Knowledge of Compustat or Capital IQ products (data, software, or feeds) is a plus.
A good understanding of fundamental data is a plus.
Familiarity with industry-leading financial data and delivery platforms.