drjobs Lead Software Engineer - Data & Analytics

Lead Software Engineer - Data & Analytics

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Plano, TX - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within the Wealth Management - Applied AI & Analytics team you play a crucial role in an agile team dedicated to enhancing building and delivering market-leading technology products that are secure stable and scalable. You are a key technical contributor responsible for implementing critical technology solutions across various technical domains to support the firms business objectives. Our team leverages cutting-edge machine learning techniques alongside the companys unique data assets to optimize business this position you will be part of our industry-leading data analytics team advancing financial applications from business intelligence generation to predictive models and automated decision-making. You will collaborate closely with financial advisors investors client service and operations.

Job responsibilities

  • Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Collaborates with business stakeholders to formulate relevant financial and business questions that can be answered by data analysis.
  • Researchs and analyzes data sets using a variety of statistical and machine learning techniques.
  • Communicates final results and give context.
  • Documents approach and techniques used.
  • Works on longer term projects building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases.
  • Collaborates with internal machine learning teams.

Required qualifications capabilities and skills

  • Formal training or certification on software engineering concepts and 5 years applied experience
  • B.S. or M.S. in a quantitative discipline in Computer Science Mathematics Statistics Engineering Data Science or similar
  • Experience with machine learning APIs and computational packages (examples: TensorFlow PyTorch Keras Scikit-Learn NumPy SciPy Pandas statsmodels).
  • Strong ability to develop and debug in Python or similar professional programming language. Experience with big-data technologies and platforms such as Spark Snowflake etc.
  • Background and experience in language model fine-tuning and building language models from scratch.
  • Experience with common Generative AI software stack (i.e. HuggingFace LangChain FAISS DSPy etc.)
  • Must have the ability to design or evaluate intrinsic and extrinsic metrics of your models performance which are aligned with business goals.
  • Must be able to independently research and propose alternatives with some guidance as to problem relevance.
  • Must be able to undertake basic and advanced EDA may require some direction from more senior team; should be aware of limitation and implication of methodology choices.
  • Ensures re-use and sharing of ideas within team and locale.
  • Able to work with non-specialists in a partnership model conveys information clearly and creates a sense of trust with stakeholders.
Preferred qualifications capabilities and skills
  • PhD In a quantitative discipline



Employment Type

Full-Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.