The Role

In this role, candidate will be part of the squad that will be working on growing FI Investment sales and platform business. Candidate will work on generating opportunity leads, product recommendation, setting strategy of coverage, engagement optimization, business optimization and experimentation. The goal of the squad & the candidate is to research, develop and implement AI and ML methodologies to achieve business objective.

Implementing AI and ML techniques to further and Grow the FI business

Working closely with business partners to understand business problems and providing data solutions

Researching, developing, and implementing new analysis and ML techniques

The Expertise and Skills You Bring

Education: BS/MS in Engineering, Computer Science, Data Science, or a related field.

Problem Solving: Strong problem-solving skills and mathematical thinking.

Analytic Skills: Strong analytic skills related to working with both structured and unstructured datasets.

Experience: 1-3 years of software development experience with a desire to work on a fast-paced development team and handle multiple tracks concurrently.

Programming: Proven experience developing with object-oriented/object function scripting languages like Python.

Data Analysis: Experience performing explorative data analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

ETL Tools: Experience with developing ETL data pipeline tools such as dbt, Luigi and Airflow preferred.

Distributed Computing: Understanding of distributed computing principles and working experience with big data tools such as Spark, Hadoop, Kafka, Hive, Impala, and Snowflake preferred.

Tool Stack: Knowledge of Pip, Flask, NumPy, Anaconda, or similar tool stack.

Cloud Computing: Knowledge of cloud computing concepts (AWS) and working experience with deploying and managing applications in the cloud.

Statistical Models: Knowledge of statistical models, predictive models, and time series analysis (such as regression, classification, simulation, dimension reduction).

Large Language Models (LLM): Familiarity with large language models (LLMs) and their applications in natural language processing (NLP) tasks.

The Team

Our team supports a variety of complex applications serving a diverse set of businesses and customers directly. The database environments are extremely critical to our success and vitality which in turn requires a unique technical aptitude.

Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients’ money.

Join Us

At Fidelity, you’ll find endless opportunities to build a meaningful career that positively impacts peoples’ lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees’ Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don’t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you’ve always imagined.

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

We invite you to Find Your Fidelity at fidelitycareers.com.

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.