Ragesh Rajan
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Ragesh Rajan Email & Phone Number

Director, Head of Responsible AI at Ally
Location: Dublin, California, United States 12 work roles 2 schools
1 work email found @ally.com 4 phones found area 980, 646, and 866 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Work email r****@ally.com
Direct phone (980) ***-****
LinkedIn Profile matched
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Current company
Role
Director, Head of Responsible AI
Location
Dublin, California, United States
Company size

Who is Ragesh Rajan? Overview

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Quick answer

Ragesh Rajan is listed as Director, Head of Responsible AI at Ally, a company with 15048 employees, based in Dublin, California, United States. AeroLeads shows a work email signal at ally.com, phone signal with area code 980, 646, 866, and a matched LinkedIn profile for Ragesh Rajan.

Ragesh Rajan previously worked as Director at Ally and Vice President, Senior Quantitative Risk Analytics Consultant at Bank Of America. Ragesh Rajan holds Masters In Business Management, Marketing Management, Supply Chain Management, 3.9 from North Carolina State University.

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Email format at Ally

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{first}.{last}@ally.com
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Profile bio

About Ragesh Rajan

I am a hands-on analytics/modeling professional highly skilled in the art of combining business knowledge & needs and academic research with advanced statistical techniques to find solutions to complex business problems. I have an innate passion for using data and information to develop strategies that are not only analytically sound, but also easily explainable and actionable. I have enabled organizations to thrive in business environments characterized by intense competition, uncertain market conditions and increased regulatory oversight.If you think we should be connected, please send me an invite.

Listed skills include Analytics, Strategy, Crm, Data Analysis, and 46 others.

Current workplace

Ragesh Rajan's current company

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Ally
Ally
Director, Head of Responsible AI
San Ramon, CA, US
Website
Employees
15048
AeroLeads page
12 roles · 20 years

Ragesh Rajan work experience

A career timeline built from the work history available for this profile.

Director, Head Of Responsible Ai

San Ramon, CA, US

Director

Current

San Francisco Bay Area

As a member of the enterprise Data to Intelligence, Artificial Intelligence (AI), and Advanced Analytics team, I'm responsible for leading and executing data science projects that transform Ally's digital experience using next-gen technologies, machine learning models/algorithms and our new Customer Decision Hub.

Oct 2021 - Present

Vice President, Senior Quantitative Risk Analytics Consultant

San Francisco, California, United States

  • I sit within the Consumer Risk Modeling & Delivery group and lead the end to end development, documentation and installation of consumer credit risk models across a variety of the Bank of America's multi-billion dollar.
  • Lead the development of the data and analytical framework for the construction of key risk measures (Probability of Default, Loss Given Default and Exposure at Default) for the Bank's retail credit portfolio
  • Collaborate and influence various cross-functional stakeholders in developing quantitative strategies that optimize conservatism in risk while balancing the Bank's needs for capital.
  • Proactively innovate in a in a rapidly changing environment that includes unprecedented levels of government stimulus programs that impact a customer's ability to pay down debt. Enhanced the Bank's risk management.
Feb 2018 - Nov 2021

Vice President, Quantitative Analytics Consultant (Risk Modeling)

San Francisco Bay Area

  • Lead the development of the bank's economic and regulatory capital models, in order to ensure capital adequacy across all of the bank's lines of business.
  • Develop the data and analytical framework for the construction of key Basel risk measures (PD, EAD and LGD) for the bank's retail portfolio for regulatory (Basel) and economic capital purposes including forecasting B3A.
  • Identify areas of improvement for better adherence to regulatory requirements. Some key accomplishments include: a) Improved the quality of existing documentation by collaborating with internal (model risk management).
Oct 2015 - Feb 2018

Vice President, Marketing Information Manager I

San Francisco Bay Area

  • Develop and execute learning agendas for three key LOBs within Consumer Bank by maintaining a pipeline of market tests, ensuring appropriate metrics are measured on the backend and ensured key business questions are.
  • Deliver strategic insights through the use of quantitative modeling, analytics and testing to improve business results in the retention, balance stimulation/growth, delinquency, refinancing, cross-sell, sales.
  • Establish management routines that ensure continued focus and coordination of testing initiatives at the Bank by designing statistical business experiments to validate marketing opportunities within the Home Loans and.
  • Responsible for market testing of creative, copy, offer and stimulation/retention strategies in various consumer segments through multiple channels. Ensured tests yield statistically valid results through proper test.
  • Led the development of advanced statistical testing methodologies (such as partial factorial test, matched market test design, etc.) that enabled the LOB to increase operational efficiency (test more with less volume.
Jun 2014 - Oct 2015

Avp, Merrill Edge Strategy Consulant

Charlotte, North Carolina Area

  • Led the design and development of a suite of Merrill Edge (ME) Retail and Preferred segment models that predict a customer’s propensity to open and fund a ME account at higher balances as a result of being treated with.
  • Exceeded yearly sales forecast by 27% in just 9 months through the use of model-driven strategies; Enabled the ME Direct Response Channel to reduce acquisition cost (cost per account) by 30%.
  • Increased sales force productivity by 30% by delivering optimization strategies to direct clients to a ME FSA staffed banking center.
  • Partnered with analytics and testing to develop and implement a multi-generational roadmap to optimize ME Direct Response. Roadmap components include balance prediction (funding models), incentive impact, seasonality.
  • Identified incremental revenue opportunities for a variety of ME Demand Gen campaigns by optimizing offer/model/channel fit and decomposed the effects of channel-specific marketing.
  • Developed a rigorous analytic and test plan for optimizing Direct Mail targeting for ME customer acquisition that allowed for parallel testing of various frameworks with a focus on tactical and long-term customer.
May 2013 - Jun 2014

Avp, Marketing Information Consultant

Charlotte, North Carolina Area

  • Led all aspects of consumer behavior model development from problem formulation, stakeholder identification, model design, computer programming, data extraction, model estimation, model validation, model documentation.
  • Researched, developed, and implemented customer-centric product propensity models in the Digital/eCommerce and Home Loans space for use in consumer marketing (targeting, proactive customer retention, and win back).
  • Modeled customer behaviors to inform the development of smarter sales and service tactics to acquire and drive mobile adoption across key customer segments. Increased customer retention rate by 8% valued at a 5 year.
  • Delivered targeted solutions that drove 5MM new customer acquisitions for Mobile Banking; Increased active mobile customer base by 15% YoY
  • Targeted high propensity customers to engage and drive new usage of Online and Mobile banking services: 1) increased Mobile Check Deposit active users by 27% 2) increased number of deposited checks by an additional.
  • Collaborated with multiple functional groups including risk strategy, model risk management, legal, compliance, and technology to ensure model compliance by performing model risk assessment and validating assumptions.
Jun 2011 - Apr 2014

Project Consultant

Charlotte, North Carolina Area

  • Identified the efficiency gains expected from Duke Energy’s various technology investments (EAM, Supplier Networks, Invoicing, Payments) aimed at improving supply chain operations at an enterprise level. Identified a.
  • Developed a Supply Chain Accelerated Roadmap that identified the critical success factors and change management attributes to enable a successful roll-out with adoption of these new technologies; Established business.
Aug 2010 - Dec 2010

Mba Systems Software Sales Enablement Intern & Co-Op

Ibm

Raleigh-Durham, North Carolina Area

  • Developed a top rated and top used piece of marketing collateral for the entire IBM Systems Software (SSW) product portfolio with key information such as competitive analysis, customer pain points, IBM’s value.
  • Collected data on prices and customer characteristics and conducted incremental revenue, pricing and configuration analysis to develop a pricing model to analyze the demand for IBM Systems Software and illustrate the.
  • Collaborated with worldwide (WW) marketing, sales, and product development teams to create various Systems Software sales plays and analyzed the effectiveness of sales plays in driving incremental upsell revenue.
  • Assessed worldwide business partner needs and assessed gaps. Proposed a BP communications, marketing and technical enablement strategy.
May 2010 - Dec 2010

Project Consultant

Supply Chain Resource Cooperative (Scrc)

Raleigh-Durham, North Carolina Area

  • Performed category analysis of Spend Management Healthcare Solutions; Engaged subject matter experts, identified technology providers, purchasing and contracting guidelines and proposed best practices in spend analysis.
  • Developed a taxonomy of capabilities around spend management and performed a capability assessment for the population of firms sampled that included Group Purchasing Organizations, Distributors, ERP providers and.
Mar 2010 - Jun 2010

It Consultant - Enterprise Information Management

  • Collaborated with the client, team members, and other project stakeholders to identify business problems, analyze business needs, create opportunities for process optimization and develop content management systems for.
  • Interfaced with business users to prepare and update business requirements, functional and non-functional specifications, software system requirements, use cases, test strategies in support of business process redesign.
  • Identified work flow and business process redesign opportunities: Map “as-is processes, identify process improvements, and design “to-be” processes to capture user interactions with front-end interface and integration.
  • Lead playback and ideation sessions for requirements clarifications and for further analysis. Provided ad-hoc feedback on usability and functional gaps in process flows to all the project stakeholders.
  • Developed a migration strategy and roadmap for Citigroup to migrate reports from existing, outdated report archival system to a state of the art custom built content management system.
  • Manage the user experience and usability of software applications by analyzing content types, defining UI structure and navigation, creating prototypes, task flow analysis and conducting usability evaluations.
2008 - 2009 ~1 yr

Software Engineer

  • Evaluated and recommended various content management solutions over client’s existing IT systems and championed the design and delivery of a new process improvement strategy to enhance business productivity, increase.
  • Designed a scalable IT solution architecture for ING’s Insurance New Business LOB enabling documents to be captured automatically into a content engine repository; Designed innovative rules to index documents and.
  • Owned the Imaging and Workflow system design, DB2 management and integration testing and implementation of the systems at client site.
  • Developed custom FileNet Step Processors and custom applications using FileNet API’s, IDM objects and VB/COM to support workflow processes.
  • Mentored and supported the application developers and team members with FileNet P8 API’s capabilities and best practices.
2006 - 2008 ~2 yrs
Team & coworkers

Colleagues at Ally

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2 education records

Ragesh Rajan education

Masters In Business Management, Marketing Management, Supply Chain Management, 3.9

Activities and Societies: MBA Student Ambassador- Jenkins MBA Scholarship Recipient - 2009 and 2010 - Annual Business Ethics Case.

Bachelors In Engineering, Computer Science & Engineering, 4.0

Activities and Societies: Areas of Interest: Artificial Intelligence, Wireless Networks, Software EngineeringGraduated with Distinction in.

FAQ

Frequently asked questions about Ragesh Rajan

Quick answers generated from the profile data available on this page.

What company does Ragesh Rajan work for?

Ragesh Rajan works for Ally.

What is Ragesh Rajan's role at Ally?

Ragesh Rajan is listed as Director, Head of Responsible AI at Ally.

What is Ragesh Rajan's email address?

AeroLeads has found 1 work email signal at @ally.com for Ragesh Rajan at Ally.

What is Ragesh Rajan's phone number?

AeroLeads has found 4 phone signal(s) with area code 980, 646, 866 for Ragesh Rajan at Ally.

Where is Ragesh Rajan based?

Ragesh Rajan is based in Dublin, California, United States while working with Ally.

What companies has Ragesh Rajan worked for?

Ragesh Rajan has worked for Ally, Bank Of America, Duke Energy Corporation, Ibm, and Supply Chain Resource Cooperative (Scrc).

Who are Ragesh Rajan's colleagues at Ally?

Ragesh Rajan's colleagues at Ally include Jennifer Bernard, Zeel Chokshi, Darrian Jackson, Wayne Boyd, and Jasmine Mcfarland.

How can I contact Ragesh Rajan?

You can use AeroLeads to view verified contact signals for Ragesh Rajan at Ally, including work email, phone, and LinkedIn data when available.

What schools did Ragesh Rajan attend?

Ragesh Rajan holds Masters In Business Management, Marketing Management, Supply Chain Management, 3.9 from North Carolina State University.

What skills is Ragesh Rajan known for?

Ragesh Rajan is listed with skills including Analytics, Strategy, Crm, Data Analysis, Sas, Analysis, Statistical Modeling, and Segmentation.

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