Mission: Enriching lives by protecting what matters most!
ID Analytics is a leader in consumer risk management with patented analytics, proven expertise, and real-time insight into consumer behavior.
Established in 2002, ID Analytics’ founding team pursued a unique business model to address one of the nation's most widespread financial crimes–identity fraud. The result is the industry standard identity fraud score, ID Score®, that delivers an accurate prediction of the likelihood of identity risk associated with a consumer transaction in real time.
ID Analytics has evolved significantly from its original focus on identity fraud to a rich solutions platform which addresses business challenges associated with consumer identity behavior. Our solutions provide actionable insight into credit and identity risk for both enterprises and consumers. We deliver this insight through an unprecedented combination of proprietary data, patented analytics, and real-time insight into consumer behavior through the unmatched strength of the ID Network®, the only cross-industry compilation of identity information in the U.S. The company’s exploration into consumer identity behavior also supports an industry-leading research resource, the id:a labs.
Every day, the largest U.S. companies and critical government agencies rely on ID Analytics to make risk-based decisions that enhance revenue, reduce fraud, drive cost savings, and protect consumers. ID Analytics is a wholly-owned subsidiary of LifeLock, Inc.
While our mission has broadened, our objectives remain the same: to enable both industry and government to obtain a well-grounded understanding of a consumer's identity behavior to maximize opportunity and minimize risk at critical points of customer interaction. What's more, we provide this capability in real time, which has proven to be valuable during critical contact points – such as when a consumer applies for a credit card or cell phone service, or requests an account change by phone or online.
ID Analytics' credit and identity risk solutions are trusted by leading financial institutions, credit card issuers, retailers, telecommunication providers, auto and mortgage lenders and the government. Click here to learn more about our technology and solutions.
LifeLock, Inc. is an industry leader in identity theft protection. Since 2005, LifeLock has been relentlessly protecting identities by providing consumers with the tools and confidence they need to help protect themselves from identity theft and manage their credit. The company has a strong focus on educating consumers and working with law enforcement and elected officials to better understand the increasing threats of identity theft. A multiple award-winning organization for two consecutive years, LifeLock has been recognized by Inc. magazine on their annual list of top 500 fastest growing privately held businesses in the United States and by the American Business Awards as having the 2011 Customer Service Team of the Year. In August 2011, Javelin Strategy & Research named LifeLock Command Center and LifeLock Credit Score Manager as “Best in Prevention” in their annual Identity Protection Vendor Report. As of March 2012, ID Analytics, Inc., a leader in enterprise identity risk management — with advanced science — that provides unprecedented visibility into identity risk and credit worthiness, is a wholly owned subsidiary of LifeLock, Inc.
ID Analytics develops best-in-class credit and identity risk solutions that enable leading organizations to more accurately assess both the risk and opportunity associated with an individual and protect consumers from identity fraud.
Led by a seasoned team of industry executives, we foster a culture of innovation, achievement, and integrity. The result is a high-performance professional working environment that encourages creativity and teamwork to deliver quality results.
Every employee is invested in the success of the company. ID Analytics offers a comprehensive and competitive benefit package for employees and their families*, to include:
ID Analytics is an equal opportunity employer. We conduct all employment-related activities without regard to race, color, sex, religion, age, national origin, disability, veteran status or other classification protected by applicable State or Federal laws.
Scott Carter -- Chief Executive Officer
Scott Carter was named CEO of ID Analytics in August of 2015. Carter joined ID Analytics as the company’s COO in September 2014, with responsibility for leading corporate strategy and go-to-market initiatives. Carter brings more than 20 years of executive leadership experience to his role, with expertise in data, software and decision technologies for the financial services industry and adjacent markets. Carter has served as senior vice president at Experian, where he was responsible for analytics and fraud solutions globally and led their go-to-market efforts for the North America region. Prior to joining ID Analytics, Carter was chief marketing officer for mobile imaging software solutions provider Mitek, where he managed all aspects of marketing, product development, corporate growth and strategy. Carter has also held senior-level marketing and operations roles at Fair Isaac Corporation (now FICO) and First Union (now part of Wells Fargo). Early in his career, he held a variety of leadership roles in operations, risk management, marketing and analytics at Associates First Capital Corporation, Advanta and American Express Centurion Bank.
Stephen Coggeshall -- Chief Analytics and Science Officer
Dr. Stephen Coggeshall is ID Analytics' Chief Analytics and Science Officer. Coggeshall has worked closely with ID Analytics and its executives since its inception and was instrumental in building the company's initial technical team and roadmap. In 2002, Coggeshall was co-founder and CEO of the analytics consulting company Los Alamos Computational Group which worked primarily with Morgan Stanley. Coggeshall has spent his 20-plus year career leading scientists to build practical solutions to difficult business problems using advanced analytics. He joined Morgan Stanley as an Executive Director, working in the areas of asset allocation, portfolio analysis, stock selection, proprietary derivatives trading and behavioral forecasts of investors and financial advisors.
Prior to Los Alamos Computational Group, Coggeshall was Group Vice President of the technology development organization at HNC Software. Until that time, Coggeshall was co-founder of CASA where he managed a group doing consumer behavioral and portfolio modeling and analysis (CASA was purchased in 2000 by HNC Software). Experience prior to CASA includes work in machine learning and adaptive computation; during this time Coggeshall led teams working with Citicorp, MasterCard and the Internal Revenue Service building applied solutions using advanced mathematical algorithms. He also spent 11 years at the Los Alamos National Laboratory in the field of laser fusion. Recognized throughout the industry for his work, Coggeshall received a Lifetime Achievement award from the San Diego Business Journal in 2012. Coggeshall co-authored the book entitled, "Foundations of Predictive Analytics." He is a frequent presenter and his research has appeared in national news media such as the Wall Street Journal, TIME Magazine, and the Today Show.
Moudy Elbayadi - Chief Information Officer
Moudy Elbayadi joined ID Analytics in June, 2013. As the Senior Vice President of Operations, Elbayadi is accountable for the overall strategic direction and execution of information technology infrastructure, service delivery, architecture, as well as data centers, networks and information security. In addition, Elbayadi is responsible for delivering a great customer experience through the office of customer care and client support
Over the past 17 years, Elbayadi has held both technical and business positions in his career including service in banking and finance, legal, and large technology companies. Prior to joining ID Analytics, Elbayadi held various leadership positions at the ACTIVE Network, Intuit, and IndyMac Bank. Most recently he served as the Vice President of Global Technology operations at the Active Network, where he helped lead a large IT transformation that included consolidating over 20 data centers, acquisitions and integration, and developing a next-gen hosting platform.
Matt McAluney -- Senior Vice President of Sales
Matt McAluney assumed the role of senior vice president of sales at ID Analytics in December 2014. McAluney oversees all revenue generation and client relationship management functions at ID Analytics. He is responsible for enhancing our corporate strategy to help meet both near-term and long-term revenue goals. From November 2013 to December 2014, McAluney served as vice president of sales for the financial services business at ID Analytics.
McAluney has more than twenty years of sales and executive leadership experience in both large and small enterprises. Prior to joining ID Analytics in 2013, McAluney was the vice president of sales at Equifax where he led new client development, marketing partnerships and served as general manager of a high growth market for Equifax’s personal information solutions business unit. In that role, he led strategy development, strategic planning, product development, marketing, and P&L management. Prior to Equifax, he also held sales and business development roles with Proficient Systems, Yodlee, Parametric Technologies, and Black and Decker.
Eric Lindeen -- Vice President of Marketing
Eric Lindeen joined ID Analytics in October 2015 as Vice President of Marketing. Lindeen is responsible for the company’s overall marketing and communications strategy and execution, as well as its brand and demand generation programs.
Lindeen brings more than 25 years of marketing and technology experience to his role, with expertise working directly with financial institutions as well as the financial services and lending markets. Prior to joining ID Analytics, he served as vice president of solution marketing for Zoot Enterprises, where he helped lenders develop and deploy complex solutions for credit originations.
Peng Leong -- Vice President of Finance
Peng Leong joined ID Analytics in May of 2016. As Vice President of Finance Leong is responsible for managing the company’s financial strategy.
Leong has more than 20 years of executive leadership experience in finance, reporting, management consulting and risk analytics. Prior to joining ID Analytics Leong played a key role as the senior director of finance for CoreLogic’s Credit Information and Verification Services business where he was responsible for strategic planning, financial operations and M&A initiatives.
Prior to CoreLogic, Leong held a variety of roles with the College Loan Corporation and Groundswell Inc., a technology consultancy. Most notably, he worked at Deloitte for the audit, accounting and management consulting practices. With Deloitte, he acquired global experience with clients throughout the U.S., Australia and South East Asia regions.
I have been working at ID Analytics full-time (More than 5 years)
Employee-friendly culture. Solutions/products provide value to "society" so it feels good to help make them successful.
There are no cons that I can think of.
I applied online. I interviewed at ID Analytics in March 2017.
The interview process was pretty extensive. There were multiple interview rounds.
The first round was a data challenge which tested the candidate's proficiency in using Python or R for data cleaning and preprocessing.
The second round was a phone screen (45 - 60 mints) with a Data Scientist. There were questions about my previous data science related work, basic statistics questions, few questions on software engineering fundamentals, machine learning basics. Overall the difficulty level was moderate. The focus was on checking fundamentals.
The third round was another phone screen (45 - 60 mints) with a Sr. Data Scientist. This round was more technical and mostly the discussion was around machine learning algorithms and their limitations.
Next was onsite at ID's San Diego office. 4 rounds of panel interviews (45 - 60 mints each) with team members and a one-on-one (non-technical) with hiring manager over lunch. All onsite interviews (except with hiring manager) were very technical, focusing on machine learning, programming, statistics, mathematics, map-reduce paradigm, and past work.
Overall my experience was very good. All people I met were very respectful, friendly and courteous. All the interviews were more like discussions rather than typical interrogations. Wherever I got struck I was given hints, which I was able to pick and move ahead.
1. Make sure you know everything mentioned on your resume in good detail.
2. Brush up your machine learning and statistics fundamentals.