VP, Strategic Planning
Opportunity in New York City

This position is with a Healthcare advertising company. The VP, Strategic Planning will be relied upon to support the agency’s strategic planning efforts. She/He will work with various teams to ensure deep understanding of the customers in terms of both insight and experience, and then translate that understanding into positioning, branding and strategy. A research and planning background is key – a minimum of 10 years of experience is required.

Job Responsibilities
- Drive and own customer understanding, provide consultative services, and execute market research on behalf of the existing or prospective clients.
- Bring creative ideas that meet needs, solve problems and drive the business strategy. Can manage the creative process and facilitate brainstorming. Open to the ideas of others. Can project how potential ideas may play out in the marketplace.
- Conveys thoughts, ideas, feelings and decisions in a clear, concise and appropriate manner. Demonstrates both good verbal and writing skills. Is a good listener and always makes an effort to get to know their audience.
- Creates a plan that organizes and aligns resources in order to accomplish objectives within an established timeline. Handles unanticipated events and situations effectively by having an alternative plan of action. Efficiently manages multiple demands and competing priorities.
- Understands organizational needs, issues and constraints that affect decisions. Can foresee the effects that new events, situations or decisions can have on individuals and groups within the organization.
- Support the agency in maintaining and enhancing overall awareness and credibility of the agency within the industry.
- Understands industry trends and their potential impact on our organization. Maintains a stable of sources for real-time information that can affect our industry and our company. Knows our position in the market place and works to exploit it.
- An ability to get others to understand your ideas, gain support for your decisions and implement your strategies. Influence others to follow you.
- Time out of the office – visits to clients and/or travel ranges from 20 – 40-% depending on project and brand assignments.

Job Requirements
- Bachelor’s Degree – Preferred Master or MBA
- 10+ years of experience in a relevant field (planning or research)
- Digital agency experience/understanding is required
- Preferred psychology or anthropology background

Contact Jim at 469-955-4435 or email him at jrbuster@tx.rr.com

POSITION: Cost Analyst

COMPANY: Consumer Products Concern

LOCATION: Fairfield County, CT

COMPENSATION: To $65K

REPORTS TO: Director, Finance and Cost Analysis

SUMMARY:

This position is responsible for providing financial cost estimates and analysis for all new Company products.

QUALIFICATIONS:

* Minimum of 3 years financial cost analysis experience in the corporate accounting group of consumer products concern.

Ted Smith
Associate Director
Access Financial
700 Canal Street
Stamford, CT 06902
203-328-3030
tedsmith@accfin.com
www.accfin.com

Ted Smith
Associate Director
Access Financial
700 Canal Street
Stamford, CT 06902
203-328-3030
tedsmith@accfin.com
www.accfin.com

Analyst for Global Investment Bank (New York, NY)

Apply directly at: http://bit.ly/5pZn86

Position Purpose:
The Analyst will interact with senior members of deal team and may occasionally interact with clients. Will foster relationships internally with peers within group and other industry and product groups.

Key Accountabilities:
• Analytical, due diligence and transactional support on workout, restructuring, acquisition and new business opportunities.
• Develope financial models, pitch books materials and conducting company research, and analyzing data to help advise our current or prospective corporate clients on actual or prospective mergers & acquisition transactions and corporate finance offerings.
• Support client relationships in the Restructuring sector, supporting business, transaction execution, and other such duties.
• Support the execution of in-court restructuring opportunities that may include pre-packaged, pre-arranged, and general bankruptcy filings.
• Support the execution of out-of-court restructuring opportunities that may include: exchange offers, debt for equity conversions, recapitalization transactions, financial and strategic sponsor driven recapitalizations and reorganizations, and transactions negotiated among companies, creditors, and other current and/or new investors.
• Support the execution of restructuring related financing opportunities that may include: DIP financings, exit financings, ABL financings, private placements, liability management transactions, leveraged loan and high yield bond financings, and other forms of private and public financings in relation to restructuring and recapitalization situations.
• Coordinate with other industry and product groups to evaluate and originate new business ideas/opportunities in the U.S.
• Build presence in the restructuring sector as directed by the Firm.
• Other such duties, responsibilities and authority as may be reasonably required.

Job Requirements: (Knowledge/ Experience):
• BA or equivalent with some background in finance/accounting.
• Excellent written & verbal communication skills
• Familiar with computer applications such as MS Outlook, Word, and Excel
• No licenses required

Apply directly at: http://bit.ly/5pZn86

INFORMATION SYSTEMS DATA ANALYST / WEB EDITOR

The Information Systems Data Analyst/Web Editor is responsible for providing end-user support, training and maintenance of a variety of in-house developed databases and applications, in addition to, support and maintenance of the corporate and project web sites.

How to Apply

Unless otherwise indicated in the job description, interested candidates should send a cover letter, resume, and salary requirements to the address below.

by mail:	Cicatelli Associates Inc. Attention: Human Resources Search 505 Eighth Avenue, 16th Floor New York, NY 10018
by fax:	(212) 629-3321
by e-mail:	employment@cicatelli.org

Cicatelli Associates Inc. is an Equal Opportunity Employer.

55 Jobs at KPMG in New York City

The job titles for their career openings in New York City are listed here.

1. Accounts Payable Analyst
2. AERS – Business Risk, GRR, Carbon Mgmt
3. Analytic & Forensic Technology – Data Analytics Senior Manager
4. Analytic & Forensic Technology – Data Analytics Sr. Associate
5. Business Development Manager – Salesforce.com
6. Business Development Support Specialist
7. Corporate Strategy Manager – no travel – Internal Strategy
8. Corporate Strategy, Senior Manager – no travel – Internal Strategy
9. Corporate Strategy, Sr. Consultant – no travel – Internal Strategy
10. Financial Services Industries – Banking Tax Manager
11. Financial Services Industries – Banking Tax Senior
12. Financial Services Industries – Banking Tax Senior Manager
13. Financial Services Industries – Securities – Tax Manager
14. Financial Services Industries – Securities Tax Senior
15. Financial Services Industries – Securities Tax Senior Manager
16. Financial Services Industries Tax – Hedge Funds – Senior Manager
17. Financial Services Industries Tax Manager – Hedge Funds
18. Financial Services Industries Tax Senior – Hedge Funds
19. Information Management OBI EE – Manager
20. Internal Communications Senior Manager – Clients & Markets

http://www.blogs.chowjobs.com/?p=1062 .

I have been talking, thinking, searching on these terms for a while, and though there is a lot that is available on the terms, mostly I see that they are open to individual interpretations and organization use and perception. In future, I would attempt to bring together some thoughts around these terms starting with this article on the topic.

Do read!

In continuation with some definitions of Data Analytics and Analysis here, the following graphic came up after a small discussion of how and when the Analysis and Analytics components play a role.

Will write more about various methodologies and tools as I learn more!

From “Two Score and More: A Lifetime of Learning for Keeping Engineers at the Fore”

I suggest the Lifelong Learning Imperative truly is a grand challenge.

Here’s why: The scope is not only ambitious, it is bold. It encompasses engineers at all ages; it embraces engineering at all stages.

It’s also a good time to consider the difference between “being an engineer” and “becoming an engineer” – and the ways that lifelong learning can make a difference in the lives of individual engineers, in the innovative and competitive capacity of our economy, and in the vibrancy of the profession of engineering.

Meta:

My journey began when I heard a podcast on how Science is drowning in data on Real Science and how Scientists are turning to Cloud Computing to solve some of the problems. This took me to the research funded by NSF (about 5 million dollars to 14 Universities) on a wide variety of problems from Data Analytics to Visualization.

If you want to take a little peek into the future and some of the problems concerning nations, it is good to track organizations like NSF. What do they fund? Why do they fund it? What were the results? What happened to the technology built, lessons learned? Is there an opportunity to use these as a base for a business? Or simply as research data?

Harnessing the power of risk (claim/event)  analytics and predictive modeling

Published Capive Review CR Fall 2009.  www.captivereview.com

Mary Chmielowiec and Paul Marshall of PointRight show that with risk analytics, an ounce of prevention is worth a pound of cure

Risk analytics is revolutionizing the processes and tools employed by insurers to more quickly and accurately market, price and underwrite their products. Ad­ditionally, these tools have the potential to enhance an insurer’s ability to manage claims more effectively. With improved management, insurers can lower overall costs, reduce premiums, reduce claims, gain competitive advantage and, ultimately, increase their market share. Through advances in technol­ogy and data availability, many insurers are already benefiting from the use of data analytics and predictive modeling capabilities to better understand and identify risk.

 What is risk analytics?

Risk analytics is a quantitative method of examining data for the purpose of draw­ing conclusions about the information. When coupled with predictive modeling, risk analytics has the potential to answer very important questions about risk. The critical ingredient is data, which must be gathered, scrubbed, aligned, indexed and benchmarked to be useful in build­ing predictive models. Ultimately, the potential of data analytics is realized when the user gains rapid access to answers for important questions such as, “What is the likelihood that this incident will lead to a million-dollar settlement?”

To illustrate the value of risk analytics, consider a healthcare facility that experi­ences a patient fatality due to a fall. Too often, if that claim is not handled prop­erly, the facility can expect to payout the maximum allowed according to policy limits. However, if the claim is handled properly (for example, timely and pro-actively), the claim can be settled out of court for a fraction of that cost. Unfortunately, healthcare systems can generate upwards of 100 incidents per month, and available claims management resources do not extend beyond the constraints of full blown lawsuits. Consequently, inci­dent reports pile up and obscure the real risks. With risk analytics, incidents can be rapidly and cost-effectively analyzed. Then, “real” risk is identified sooner, triaged appropriately, and dealt with proactively.

Logistically, it is a simple process. The unique circumstances of each incident are captured. The situation is analyzed in the context of like-facilities and resident health. This provides the immediate insight necessary to gain perspective and focus resources accordingly. Within the long-term care industry, public access to Online Survey, Certification and Report­ing (OSCAR) data, Minimum Data Set (MDS) assessments and survey results provides for highly effective predictive modeling opportunities.

 Advantages of analytics

While a few risk managers are truly gifted with a sixth sense for risk, most are not. With access to risk analytics, all claims managers can be equally and consistently equipped with the tools and potential to greatly improve their performance. Risk analytics provides the critical information needed to move forward with confidence and target at­tention on the high-risk situations that will benefit most from a proactive stance. In addition to providing a virtual red, yellow or green flashing light on each incident, risk analytics can provide a number of other advantages:

 1. Accelerate the acquisition of knowl­edge – “The quicker we can investi­gate, understand and evaluate the claim, the quicker we can reach our decision points. Does the claim have value? What is the potential value of this claim? Are we comfortable defending it at trial? Risk analytics helps us tailor the investigations because if we can identify prob­lem areas, we can dig deeper and perform more pointed and specific investigations. Any time we have access to critical information about the facility, staffing levels, potential problem areas and so forth, early in the claim handling process, we improve our chances of being able to evaluate the claim accurately and resolve it in an optimal fashion,” explains Paul Hamlin, founder and president of Hamlin and Burton Liability Management and expert in the field of claims management.

 2. Place claims into proper context – Not all falls are created equal. The actual context of individual claims may be quite different. For example, one facility’s data may demonstrate that the fall was an anomaly that occurred despite having excellent protocols and risk-management practices, while the other facility’s data may reveal a true risk manage­ment weakness. This knowledge advantage offers rapid discernment of the overall quality of care provid­ed at one facility versus another and can chart the course for improved negotiations with plaintiffs and, ideally, lower overall settlements. “Risk analytics has allowed us to focus on critical claims by gaining rapid clinical and analytical insight to help us put claims into a broader context and obtain more favorable outcomes,” notes Jonathan Swann, underwriter, CareSurance Nurs­ing Home Program at Lloyd’s. At a minimum, the information guides claims professionals and gives them the wisdom to determine which claims to defend and which to settle, fast.

 3. Lower claims administration costs – Claims managers who research files in the traditional approach will spend 25-50% more time complet­ing the legwork necessary to obtain the data necessary to evaluate a claim. “Most data in the compre­hensive risk analysis we could find out on our own, but it would take a tremendous amount of leg work and would be done slowly, expen­sively and inconsistently,” says Paul Hamlin. If risk analytics can save an insurer just 5% of total claims man­agement expense, that impact could easily be converted into a significant competitive advantage.

 4. Detect fraud – Claims fraud is a multi-billion dollar problem and healthcare fraud is the major contributor. While the reasons for this are many, the sad truth is that insurers can only investigate a small percentage of suspected cases due to limited resources. Consequently, it is critical to rapidly evaluate every file to identify the likelihood of fraud and then focus investiga­tive resources accordingly. Failure to identify fraud raises claims cost, which increases premiums for all insured. For insurers, even a minor improvement in the ability to detect fraud can generate a significant return on investment.

 5. Triage claims – By identifying underlying problems quicker, risk analytics gives the insurer the clarity to identify real risk and fast-track the potentially large settlements at a much earlier stage in the process. These cases, which are more likely to evolve into large settlements, are instantly identified, designated a priority and handled appropriately.

As the application of risk analytics becomes more widespread in the claims handling arena, new uses of these tools are expected. One application cur­rently being explored is with causation defense. To illustrate, assume a nursing home resident is afflicted with severe skin breakdown that leads to an amputa­tion of a lower extremity. Such a case is likely to result in a lawsuit. To prepare for that possibility, the insurer can utilize predictive modeling to develop an ef­fective defense strategy. By processing the detailed circumstances of the case through a sophisticated data analysis, the insurer can look at the medical condition of the resident and infer what prob­ability existed that the resident would have experienced severe skin breakdown regardless of the facility’s quality of care or resident specific care plan.

 Proceed with caution

Any statically driven predictive modeling tool has limitations and the old adage, “garbage in, garbage out” will always apply. While risk analytics and predictive modeling have tremendous advantages to offer insurers and risk management organizations, the ulti­mate value is derived when the experts interpret the information correctly and make the right decisions. After all, there are many variables that go into each and every case that ultimately determine how it is settled. Once a case proceeds to court, the deciding factor is the six or eight people in the jury box. Just how they will decide is extraordinarily unpredictable. “There are precious few variables that exist between the cases we win in trial and the ones we lose in trial,” says Paul Hamlin.

 Timing is everything

With the passage of time, the cost to settle any case may increase exponen­tially. Risk analytics and predictive modeling provide the insurer and the defense team with rapid access to the information needed to manage incidents proactively, triage claims effectively and settle claims before that critical window of opportunity closes. It is simply an industry best practice available for any insurer ready to harness the power of knowledge and technology and apply the old adage: “An ounce of prevention is worth a pound of cure”.

 “Risk analytics provide the insurer with rapid access to the information needed to manage incidents proactively”

Mary Chmielowiec is the executive vice-president for insurance and Paul Marshall is direc­tor of insurance business develop­ment at PointRight. PointRight, formerly known as LTCQ, is based in Lexington, Massachusetts, and analyses liability risks for the insurance industry using pre­dictive models and underwriting deci­sion support that enable risk bearing organizations to more quickly and accurately analyze and manage the risks that shape their bottom line.

Published CaptiveReview Fall 2009

PointRight analyzes liability risks for the insurance industry using predictive models and underwriting decision support that enable insurance / risk bearing organizations to more quickly and accurately analyze and manage the risks that shape their bottom line. When coverage is bound the same model-based risk analysis helps focus risk management and optimize the use of risk management dollars using our Web-based services and account management. When a claim is made, PointRight provides an evaluation that leverages the model-based risk analysis putting claims into context, assisting in more favorable outcomes.

Get LINKED and join my LinkedIN network of 500+ Healthcare, Legal and Insurance professionals.  Go to: http://www.linkedin.com/in/paulrmarshall

 For additional information please contact:

Paul Marshall  Director Insurance Business Development  PointRight Inc.

781-457-5820 Office/Direct  paul.marshall@pointright.com www.pointright.com