Data Analyst (Python/SQL) at JPMC Candidate Experience page

Taguig, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

19 Aug, 26

Salary

0.0

Posted On

21 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Analytics, Data Mining, Statistical Analysis, Tableau, Alteryx, SAS, Teradata, Oracle, Hadoop, Snowflake, SSRS, SSIS, Business Process Reengineering, Business Modeling

Industry

Financial Services

Description

Shape the future of Home Lending Servicing by joining our Data & Analytics team. Unlock your potential as a Quant Analytics Associate, where your expertise in data analytics will drive impactful business decisions. Be at the heart of innovation, collaborating with talented professionals and advancing your career in a dynamic environment. Make your mark by transforming data into meaningful outcomes and supporting operational excellence. Job Summary: As a Quant Analytics Associate in Home Lending Servicing Data & Analytics, you will collaborate with business partners to understand their needs and deliver actionable recommendations. You will analyze complex datasets, automate reporting, and support scalable data solutions. Your analytical skills will help translate data into meaningful business outcomes, driving operational improvements and supporting strategic initiatives. Job Responsibilities: * Collaborate with business partners to gather and clarify reporting and analytics requirements. * Analyze large datasets to identify trends, patterns, and actionable insights for business decisions. * Answer stakeholders’ business-related questions by providing clear, data-driven insights. * Develop and automate recurring and ad hoc reports using SQL and analytics tools. * Evaluate data quality and resolve discrepancies. * Support the design and implementation of scalable data solutions. * Document business requirements and functional specifications. Required Qualifications, Capabilities, and Skills: * Strong experience in data analytics, data mining, and statistical analysis. * Proficient in SQL and comfortable working with databases (Teradata, Oracle, Microsoft SQL, Hadoop, Snowflake). * Experience working with Business Intelligence (SSRS, SSIS, Tableau, Alteryx, SAS, JIRA, Python, etc.) * Experience documenting business requirements, functional specifications, and test plans. * Experience in business process reengineering and business modeling concepts. * Ability to prioritize and manage multiple assignments. * Strong analytical and writing skills. * College degree, specialized training, or equivalent work experience. Preferred Qualifications, Capabilities, and Skills: * Familiarity with analytics tools such as Tableau, Alteryx, Python. * Understanding of US home lending servicing processes. * Experience in statistical modeling. * Experience with machine learning and artificial intelligence techniques * Experience in financial services. * Ability to communicate complex findings clearly to stakeholders. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Responsibilities

Collaborate with business partners to analyze large datasets and provide data-driven insights for Home Lending Servicing. Develop and automate recurring reports while supporting the implementation of scalable data solutions.