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JPMorganChase

Quant Analytics Analyst

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Mumbai, Maharashtra
Mid level
Hybrid
Mumbai, Maharashtra
Mid level
The Quant Analytics Analyst will partner with marketing to identify data analytics opportunities, develop dashboards, and provide data-driven insights for strategic decision-making.
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Job Description
Description:
You are a strategic thinker passionate about driving solutions in Marketing Analytics. You have found the right team.
As a Marketing Analytics Professional within our Private Banking division, you will be responsible for setting and improving our organizational objectives and ensuring their consistent accomplishment.
Job Responsibilities:

  • Partner with marketing stakeholders to identify opportunities for leveraging data analytics to solve complex marketing challenges.
  • Develop and maintain dashboards and reports in Tableau to visualize marketing data insights and track key performance indicators (KPIs).
  • Utilize strong SQL and Python coding skills to manipulate and analyze large datasets, and create interactive applications using Streamlit, Dash, or Shiny.
  • Conduct in-depth data exploration and mining to understand client behavior, market opportunities, and campaign effectiveness.
  • Provide data-driven insights and recommendations to support strategic marketing decision-making and enhance client engagement.
  • Foster a data-driven culture by promoting data literacy and encouraging innovative approaches to marketing problem-solving.


Required Qualifications, Capabilities, and Skills:

  • Technical Proficiency: Strong expertise in Python for data manipulation and analysis, with experience in using libraries such as Pandas, NumPy, SciPy, Scikit-learn, and Matplotlib. Proficiency in SQL for querying and managing large datasets from various data sources.
  • Application Development: Experience with interactive application frameworks like Streamlit, Dash, or Shiny to develop user-friendly data applications that enhance data accessibility and usability.
  • Data Visualization: Advanced skills in data visualization tools such as Tableau, Power BI, or Qlik, with the ability to create interactive and insightful dashboards that effectively communicate complex data insights to stakeholders.
  • Analytical Skills: Demonstrated ability to work with large datasets, perform complex data analysis, and derive actionable insights. Experience in data cleaning, transformation, and modeling to support data-driven decision-making.
  • Problem-Solving: Strong problem-solving skills with the ability to identify issues, analyze data, and develop innovative solutions to complex business challenges.
  • Industry Experience: Experience in the financial services industry, particularly in private banking, wealth management, asset management, or marketing analytics.
  • Communication: Excellent written and verbal communication skills, with the ability to translate data findings into compelling narratives and present them to diverse audiences.
  • Collaboration: Ability to work collaboratively in cross-functional teams, build strong relationships with stakeholders, and contribute to a culture of data-driven decision-making.


Preferred Qualifications, Capabilities, and Skills:

  • Educational Background: Advanced degree in Business Analytics, Statistics, Computer Science, or a related field, with a strong foundation in quantitative analysis and data modeling.
  • Machine Learning: Familiarity with machine learning techniques and their application in predictive analytics, including experience with libraries such as Scikit-learn or TensorFlow.
  • Project Management: Experience in managing data analytics projects from inception to completion, with the ability to prioritize tasks, manage timelines, and deliver high-quality results.
  • Data Governance: Understanding of data governance principles, data quality management, and best practices for ensuring data accuracy and integrity across platforms.
  • Innovation: A passion for technology and innovation, with a proactive approach to exploring new tools, techniques, and methodologies to enhance data analytics capabilities.


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.

Top Skills

Dash
Matplotlib
Numpy
Pandas
Power BI
Python
Scikit-Learn
Scipy
Shiny
SQL
Streamlit
Tableau

JPMorganChase Singapore Office

One@Changi City, Changi Business Park Central 1, Singapore, 486036

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