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Lead Software Engineer - Data & Analytics Job Opening In Plano – Now Hiring JPMorgan Chase & Co.


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's 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 firm's business objectives.

Our team leverages cutting-edge machine learning techniques alongside the company's unique data assets to optimize business decisions.

In 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.
  • Research's 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
  • .

    or .

    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 (.

    HuggingFace, LangChain, FAISS, DSPy,
  • Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s 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
  • Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Lead Software Potential: Insight & Career Growth Guide


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    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at JPMorgan Chase & Co. adheres to the cultural norms as outlined by Expertini.

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    2. Loyalty

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    6. Respect for human rights

    7. Obeying United States laws and regulations

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