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IT job seeker tips: 8 IT-specific questions you’ll get asked in job interviews

Published August 16th, 2012 by Mak

We’ve all seen the standard list of interview tips and questions that every employer will ask, like “What are your strengths” and “Describe a situation when…” You’ll always need to describe your skills, education and background, regardless of whether you’re applying to be an accountant or construction worker.

But if you work in the information technology or computer industry, you can expect some IT-specific questions during your job interviews. Be ready to answer these questions with poise, confidence and just the right amount of detail:

Can you take a codility test? Here you’ll need to write actual code in a programming language to confirm you have actual practical programming skills. It’s like a driver’s test — you can’t just tell the interviewer you can parallel park, you have to get behind the wheel and put the car between the cones.

What development tools have you used? Companies want to make sure you’ve got experience using the latest technology. How do you troubleshoot IT issues? This speaks directly to your problem-solving skills in an industry-specific context.

What’s your opinion of on-site vs. cloud solutions? (assuming the applications are functionally equivalent) Your answer demonstrates your knowledge in this emerging field. Form a thoughtful opinion that weighs the pros and cons of both.

What is your production deployment process? Project management has always been a key skill for IT companies — you’ll need have a general framework memorized to let interviewers know that you’ll manage each project thoughtfully and efficiently.

What software vendors have you worked with, and which do you prefer? Every company has its favorite companies it likes to work with, and is always looking to expand their network.

How important is it for you to work directly with users?The answer to this question might indicate how people-friendly you are. Make sure you mention that you’re open to working directly with users, when appropriate.

How do you define documentation? Why is it important? Good documentation is a core skill valued by almost all IT employers, so it’s important that you have a clear answer to this question.

It will help you remember your answers, plus add clarity to your thoughts, if you actually write out your answers to these questions beforehand. Make sure you also ask some questions of your own, and brush up on your communications skills while you’re at it.

Looking for take that next step in your career? Let us help! Comrise’s clients are constantly on the lookout for professionals who can answer the questions above and more. Contact us to learn more.

Comrise Receives Approval for Job Candidate Prioritization Patent

Published June 16th, 2012 by Mak

Comrise, a global consulting firm specializing in Managed IT, Big Data, and Workforce Solutions with offices in the US, Hong Kong and China, and their spin-off, RightFit are excited to announce the approval of their patent for Systems and Methods for Prioritizing Job Candidates based upon a Decision-Tree algorithm.

The patent was filed in November 2013 and was officially approved by the USPTO on Friday, June 27th, 2014. This patented algorithm is the key ingredient for RightFit, a candidate prioritization application which is built in the form of a Software-as-a-Service (SaaS) plugin, and can integrate with any Applicant Tracking System (ATS) and Talent Management Platform. The algorithm was developed using 30+ years of hiring data from Comrise, Inc., which was then processed on HPCC Systems, the open-source Big Data Platform from LexisNexis.

“This is a huge step forward for the teams at Comrise and RightFit. We’ve been working extremely hard on building this algorithm for close to a year now – and this is a huge win for us as we prepare to go to market,” says Rob Bigini, VP of Global Operations for Comrise. “We truly believe this algorithm can have a strong impact on improving key metrics for recruiters and talent acquisition professionals, such as time-to-hire and cost-to-hire.”

RightFit is currently in beta with a few global enterprises across multiple industry verticals, as well as finalizing integration with ATS’s in the U.S. and the UK, and a Vendor Management System (VMS) enterprise.

Big Data and Financial Services: How Big Data Will Help Detect Card Fraud in Real Time

Published January 22nd, 2012 by Mak

Big data and the financial services industry are starting to work in tandem with one another in a variety of areas that help detect and analyze information. One area that’s needed more growth is in fraud detection on bank cards. During the holiday season, particularly, the chances of fraud on someone’s bank card can significantly increase and potentially cost banks millions of dollars to repair the situation.

Fortunately, big data has already been there recently to help weed out information to track down fraud. During that process, banks detecting fraud on bank cards usually meant an immediate freeze and a significant delay while they investigated. Now, with some improvements, one company is developing a real-time big data solution to detect fraud without requiring delays. Fraud Detection Without Disruptions A company called HortonWorks and their systems integration partner Pactera have developed a new analysis tool that allows continued use of a card without interruption thanks to a quicker analyzing process.

The system they use evolves big data even further and shows how analyzing vast amounts of structured and unstructured data in less than a minute can give a real-time picture of card fraud. The above works through a four-tiered system that can gain an accurate idea of whether someone else has used your bank card to make a purchase. This works by acquiring data, analyzing predictive models, integration, then an accurate decision. But it’s a program called Apache Storm from HortonWorks above that’s helping to analyze the data even faster.

When integrated into Hadoop, it’s becoming a powerful new tool that’s going to revolutionize the time it takes to analyze data. What Apache Storm Can Do This program touts being able to process one million messages every minute with extreme accuracy. It helps prevent and optimize various situations for any type of industry, though going after fraud for the financial industry is becoming one of its notable strong suits. It also can detect compliance violations in mere seconds. Big Data and the Impact on Future Holiday Shopping In coming years, consumers may not have to worry about card freezes when fraud suddenly occurs. It’s a true miracle to think card fraud can be scoped out in real time without disturbing consumer purchases, particularly during the holiday season. This also saves plenty of embarrassment for a consumer getting their card denied in the middle of a store transaction.

Big data has finally come to a point where it’s showing the true benefits of what it can do and will do before the end of the decade. For those who operate financial institutions, employing big data now is going to eliminate much of the risk that’s been so prevalent in that industry. Here at Comrise, we provide big data solutions for the financial industry as well as many other industries.

With 30 years experience managing IT and providing workforce solutions, we’re now a leader in big data and integrating all of our services into major companies across the country. Contact us so we can analyze how your financial institution can benefit from big data. We use quality HPCC systems and the programming language ECL as the best industry methods to process data faster than you ever thought possible.

Comrise Technology, Inc., Recognized in Staffing Industry Analysts’ 2011 List of Diversity Staffing Firms

Published August 26th, 2011 by Mak

New Jersey-based Comrise Technology, Inc., a leading minority-owned IT staffing company specializing in direct and contract staff augmentation, recruitment process outsourcing (RPO), payroll services, vendor management, and managed IT solutions, was recently recognized by Staffing Industry Analysts on its 2011 Diversity Staffing Firms list.

With headquarters and branch offices throughout the U.S. and China, Comrise has built a global reputation by providing top-caliber consultants and professional services to a wide range of industries, including IT, Telecommunications, Financial Services, Pharmaceuticals, Clinical Research, and Electronics. Comrise works closely with clients in order to deliver world-class professional consultants who will streamline their business operations.

Comrise General Manager, Thomas Liou, said: “We are honored to appear alongside other staffing companies who share our commitment to diversity. We believe it is this commitment that sets Comrise apart and allows us to offer the highest levels of customer service to our clients around the world. Comrise continues to seek new opportunities to work with companies that value our minority status in forming many mutually beneficial business relationships. In fact, Comrise is also committed to passing on the same benefits to its own network of suppliers through Comrise Technology’s Supplier Diversity Program.”

For more information regarding the complete Diversity Staffing Firm List by Staffing Industry Analysts, please visit www.staffingindustry.com

About Staffing Industry Analysts:

Staffing Industry Analysts is the global advisor on contingent work. Known for its independent and objective insights, the company’s proprietary research, award-winning content, data, support tools, publications, and executive conferences provide a competitive edge to decision-makers who supply and buy temporary staffing.

About Comrise:

Comrise Technology is a minority-owned IT staffing company specializing in direct and contract staff augmentation, recruitment process outsourcing (RPO), vendor management, and managed IT solutions. With headquarters in the U.S. and China, as well as over 28 years of industry experience, Comrise provides local talent and resources on a global scale. To inquire more about our services, contact us or see what we do.