Decision Scientist- Senior Associate

nvolved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.

Our Decision Science team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them.

Job spec customisation requirements:

• Job responsibilities:

  • Utilise advanced data science and machine learning methodologies to solve complex real-world problems
  • Collaborate with data and machine learning engineers to deploy models within the cloud infrastructure
  • Perform quantitative ad-hoc analysis and present findings to the stakeholders in a clear, logical and persuasive manner, illustrating them with effective visualisations
  • Collaborate with business partners and domain experts to identify business opportunities and understand business problems

• Required qualifications, capabilities and skills

  • Masters in a STEM subject (e.g. Mathematics, Computer Science, Engineering, Physics) and 3-5 years of industry experience, or Ph.D. in a STEM discipline and 2 years of industry experience.
  • Solid background in probability, statistics, data science and machine learning methodologies (e.g. supervised/unsupervised learning, linear regression, random forests, xgboost)
  • Familiarity with Python, SQL and open-source libraries for data science and machine learning (e.g., numpy, pandas, scikit-learn, pyTorch, tensorflow)
  • Ability to work both independently and in a highly collaborative team environment

• Preferred qualifications, capabilities and skills

  • Working knowledge in one or more of these areas: Natural Language Processing methodologies (e.g., transformer-based architecture), probabilistic programming, causal inference techniques, recommender systems, time series forecasting, explainability in machine learning.

  • Familiarity with one or more of these libraries: OpenAI APIs, huggingface, pystan, pymc, statsmodels, sktime, shap, pyspark, dask, xgboost

  • Advanced SQL querying skills

  • Ability to develop and debug production-quality code

• #ICBCareers

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.