Job Description
You are a strategic thinker passionate about driving solutions in Data Science and LLM developer. You have found the right team.
As a Data Science and LLM developer - Sr Associate in our MIS and Platforms team , you will spend each day defining, refining and delivering set goals for our firm.
Job Responsibilities :
- Implement various exploratory data analysis techniques . Analyze for Trends and Patterns .
- Identify key data sources that can make business impacts.
- Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategic solutions.
- Design and develop datamining queries from large data sets (Both Structured and Unstructured) . Experienced in conversion of data into information.
- Proficient in Visualization and story telling which can make an impact to the business .
- Employs scalable automation solutions for faster and robust data preparation
- Transform model outputs into formats that is understandable to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.
Required qualifications, capabilities and skills
- Self-starter, attention to details and results orientated, able to work under minimal guidance.
- Uses pertinent data and facts to identify and solve a range of problems within area of expertise.
- Having mandatory experience in Statistics along with Exploratory and regression data analysis
- Strong proficiency in LLM, embedding, concept of vectorization/ vector stores, database optimization, performance tuning,and relevant query languages.
- Familiarity with embedding, retrieval algorithms, RAG based agents, data modelling for vector development graphs.
- Experience with LLM and other related frameworks like Langchain, LLamaIndex,AutoGen, ReAct
- Experience in model development using Machine Learning techniques [Data Analysis /Model Tuning}.
- Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera's, Pandas, PySpark/PySQL)
- Bachelor's Degree in, Data science Computer Science, or Engineering. Different field of study, with significant professional experience in Analytics and BI development, is acceptable.
- Experience Required: Minimum 8 years in Data related projects and minimum 3 years in Data Science
- Good communication and analytical skills
Preferred qualifications, capabilities and skills
- SSIS/Alteryx exposure for complex ETL development is an added advantage..
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
