Join our team as a senior quantitative analytics associate, where you'll collaborate with business partners to design innovative, automated solutions using cutting-edge technologies, driving operational efficiency in a dynamic, learning-focused environment.          

As a Quant Analytics Associate Senior within DART (Data, Analytics and Reporting Team), you will play a crucial role in the DART MIS (Management Information System) setup and will be tasked with delivering effective business solutions. You will collaborate closely with various stakeholders and management levels to ensure the delivery of the most optimal solutions. As a member of the DART team you will leverage a broad technology suite to implement automated solutions and deliver data driven insights.

DART is poised to be the central analytics group for all functions in the CCB (Consumer and community Banking) Operations. We are a global group with presence in US, India & Philippines. 

Job responsibilities:

Support day-to-day operations/tasks related to a functional area or business partnerEnsure projects are completed according to established timelinesParticipate in cross-functional teams as an SME (subject matter expert) Assemble data, build reports/dashboards, and provide input on out of the box solutions for our business partnersLead and deliver complex reporting projects independentlyIdentify risks and opportunities along with potential solutions in order to unlock valueIdentify, analyze, and interpret trends or patterns in complex data setsInnovate new methods for managing, transforming, and validating dataPartner closely with business stakeholders to identify impactful projects, influence key decisions with data, and ensure client satisfaction

Required qualifications, capabilities, and skills:

Minimum 5 years demonstrated experience leveraging analytics and data mining to deliver tangible business improvementsBachelor's degree in Business or related field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science) First-hand experience & knowledge of querying different databases & other source systems for data analysis required for reportingTechnical knowledge and/or experience using various data visualization (e.g. Tableau) and data wrangling tools (e.g. Python, R, SQL,  Alteryx)Experienced in programming with Python, knowledge of machine learning, Data lake, snowflake, AWSExcellent verbal and written communication skills - ability to summarize findings into concise, high level points geared towards the audience and visually depict key data and findingsDemonstrated ability to positively interface with other departments, colleagues, senior management and external customers is required

Preferred qualifications, capabilities, and skills:

Experience within the banking industry Strong attention to detail and accuracy - proven ability to produce quality results timelyIntellectually curious, eager to learn new things with an eye towards innovationStrategic, able to focus on business goalsExcellent, at solving unstructured problems independentlyHighly organized, able to prioritize multiple tasksStrong, communicator able to build relationships with key stakeholder

This role does not offer visa sponsorship.  This position will require the incumbent to work on site 5 days a week.