Senior Manager, Equity Quantitative Researcher

We are seeking an exceptional researcher to report into the Equity Quantitative Research Team. This individual will be responsible for supporting the StarMine suite of equity models, modernizing the existing model estate, building the next generation of equity models along the model development lifecycle, contributing to equity thought leadership and outreach to clients and prospects, engaging with model risk management and model validation, assisting with the research component of production support, collaborating with the Bucharest based Machine Learning / Econometric support team, proposition, product, and engineering.

Key Responsibilities

* Support 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.

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

* Contribute to outreach geared toward client satisfaction, converting prospects to customers, and expanding the brand footprint.

* 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.

Candidate Profile / Key Skills

* 8-12 years' experience in a similar role demonstrating prior equity modelling building and significant equity markets subject matter expertise.

* Prior exposure and experience with StarMine models is desired.

* 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.

* 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.

* Advanced degree in a field such as Physics, Computer Science, Engineering, Statistics, Data Science, or Mathematics preferred.

Compensation/Benefits Information:

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

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