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LSEG · 4 hours ago

Quantitative Equity and Funds Research Team Lead

New York, NY

Full-time

Onsite

Senior Level, Lead/Staff

$208K/yr - $347K/yr

10+ years exp

LSEG is a leading global financial markets infrastructure and data provider, seeking an exceptional researcher to lead their quantitative equity and funds research programs. The role involves modernizing equity models, leading a research team, and engaging with clients while overseeing the creation of thought leadership content and research methodologies.

ConsultingData ManagementDatabaseFinanceFinancial ServicesInfrastructureStock Exchanges

Responsibilities

Take ownership of existing suite of equity models and performance monitoring which includes learning and understanding data, model specification, production implementation, coordination with model validation and model risk management, and compute needs

Conduct innovative research and construct next generation of equity / alpha models

Set team vision and direct priorities

Take responsibility for the Model Development Lifecycle including coordination with key contributors from other functions

Lead outreach geared toward client satisfaction, converting prospects to customers, and expanding the brand footprint

Thorough understanding of the mutual funds business, including portfolio construction, pooled investment analytics, performance, fund flows and expenses, distribution channels, and major trends

Familiarity with Lipper classifications and industry applications, such as Lipper for Investment Management, Global Fund Flows, and LSEG Workspace

Coordinate and collaborate with stakeholders within the broader researcher team as well as across the organization including proposition, product, and engineering, sales, marketing, model risk, and model validation

Qualification

Equity modelingStarMine modelsMachine learningPythonUnix/LinuxLipper experienceCloud experienceData integrationClient interactionInnovationAdvanced degreeLeadership

Required

10-15 years' experience in a similar role demonstrating prior equity modelling building and significant equity markets subject matter expertise

Prior experience leading an equity research team is required

Prior experience interacting with prospects and clients is required

Experience with machine learning and NLP is required

Strong working knowledge of Python programming language is required

Proficiency in a Unix or Linux environment is required

Prior Experience with Lipper is required

Cloud experience with AWS and/or Azure and Spark (or variants like AWS Glue) for large-scale processing of structured and unstructured data is a required

Prior experience integrating data and models into production processes is desired

Needs to be self-reliant, resourceful, and eager to lead with a strong desire and ability to innovate