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Exam Number : CFE
Exam Name : Certified Financial Examiner (CFE)
Vendor Name : Financial
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CFE exam Format | CFE Course Contents | CFE Course Outline | CFE exam Syllabus | CFE exam Objectives

1. CFE designation requirement
To qualify for the CFE designation- you must have obtained the AFE designation or be applying for the AFE designation concurrently with the application for the CFE designation. A CFE designation will not be granted until the AFE designation is obtained. This may occur on the same day- but the AFE designation requirements must be met before the CFE can be obtained.

2. Education requirements
To qualify for the CFE designation- you must have:

Successfully completed three semester hours of a Management course from an accredited college or university or its demonstrable equivalent- and you must provide evidence of the successful completion of this course by either a certificate of completion or a college transcript.

Note that the Management courses offered by CPCU- LOMA- and CLU will satisfy this requirement. For more information about their courses in Management- visit their websites at and

To qualify for the CFE designation- you must successfully complete the three CFE examinations administered by the Society of Financial Examiners. The three CFE exams are:

CFE1 - Examination Methods and Management
CFE2 - Enterprise Risk Management
CFE3 - Reinsurance

The information about registering for these examinations is provided at To assist in studying for these examinations- the Society provides study guides and textbook materials. A description of these study items is also provided at You are welcome to take CFE exams prior to receiving the AFE designation but must receive the AFE designation prior to receiving the CFE designation.

Conditional Credit Policy - Effective January 1- 2012- a candidate for the CFE designation will be subject to the conditional credit policy as stated below:

The passing grade for each of the tests of the CFE is 66 prior to July 1- 2014; thereafter it is 74. A candidate who passes any test of the CFE will earn conditional credit for that test. This conditional credit expires 36 months after the testing date. If a candidate does not successfully pass the remaining tests within the 36 months- the test associated with the conditional credit must be retaken.

An application reflecting fulfillment of all requirements for a designation must be submitted within thirty-eight months following the month in which the applicant passed his/her first exam for that designation track.

4. Work-related experience requirements
To qualify for the CFE designation- you must be an insurance department employee- or self-employed with a contract for services directly with an insurance department- or be employed with a company that has a contract with a state insurance department and have three (3) years of continuous- responsible insurance department examination experience as a financial examiner. Note that the two years required for the AFE designation- qualify as the first two years of the requirement for the CFE- therefore- you only need to obtain one additional year.

5. Membership requirements
To qualify for the CFE designation- you must be an Accredited Member in good standing of the Society of Financial Examiners.

6. Application approval requirements
To receive the CFE designation- you must submit an application to SOFE headquarters and it must be approved first by the Membership Committee- who will then recommend it for approval by the Executive Committee of the Society. Upon approval by the Executive Committee- the designation will become effective.

Deadlines The approval process of a properly completed designation application is typically between six to eight weeks- as follows: The completed application- with all required information and documentation must be submitted to SOFE by email- fax or mail- for arrival by the 3rd week of the month for inclusion in the next months Membership Committee review. Applicants recommended for approval by the Membership Committee are then submitted for vote by the Executive Committee- generally within 30 days of Membership Committee approval. Applications may be found on the Society's website at under the link for SOFE Forms or under the Resource tab.

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Financial Financial PDF Questions

monetary records unbound: The value of open statistics for people and associations | CFE exam Questions and Test Prep

As international locations around the globe seem to be to ensure quick restoration as soon as the COVID-19 crisis abates, superior fiscal functions are emerging as a key factor to enhance increase, elevate financial effectivity, and elevate productiveness. amazing digital monetary infrastructure proved its worth right through the disaster, assisting governments cushion individuals and companies from the financial shock of the pandemic. The next frontier is to create an open-statistics ecosystem for finance.

Already, technological, regulatory, and competitive forces are relocating markets toward more convenient and safer fiscal facts sharing. Open-information initiatives are springing up globally, together with the United Kingdom’s Open Banking Implementation Entity, the european Union’s 2d payment functions directive, Australia’s new consumer coverage laws, Brazil’s drafting of open data guidelines, and Nigeria’s new Open technology groundwork (Open Banking Nigeria). in the united states, the buyer monetary protection Bureau aims to facilitate a buyer-licensed records-sharing market, while the financial data trade consortium attempts to promote usual, interoperable standards for cozy entry to monetary data. Yet, even as many international locations put in area superior digital financial infrastructure and statistics-sharing mechanisms, COVID-19 has uncovered limitations and gaps of their reach, a theme they explored in past analysis.

This discussion paper from the McKinsey international Institute (download full textual content in 36-web page PDF) looks at the skills price that may well be created—and the important thing concerns if you want to need to be addressed—through the adoption of open data for finance. They center of attention on 4 regions: the eu Union, India, the United Kingdom, and the U.S..

by way of open information, they suggest the potential to share financial facts through a digital ecosystem in a way that requires restricted effort or manipulation. merits include more accurate credit score risk evaluation and possibility-primarily based pricing, greater team of workers allocation, better product delivery and consumer provider, and stronger fraud protection.

Our analysis means that the boost to the financial system from extensive adoption of open-statistics ecosystems might range from about 1 to 1.5 % of GDP in 2030 in the European Union, the United Kingdom, and the U.S., to as a lot as 4 to 5 percent in India. All market individuals improvement, be they institutions or patrons—both people or micro-, small-, and medium-sized enterprises (MSMEs)—albeit to various levels.

shooting the complete cost requires both a level of records standardization and a breadth of data sharing that aren't yet present in many economies. certainly, their research means that greater than half the competencies price is still inaccessible, in particular the value that fiscal institutions could gain directly through more suitable efficiency and decreased fraud prices. using open statistics raises questions on consumer consent, information protection, and cybersecurity. but when these concerns are addressed, the innovation such ecosystems may enable would be a spur to financial healing and broader-primarily based prosperity.

Open economic data create economic price throughout a wide array of interactions between buyers and fiscal institutions

economic statistics are created or used right through the existence cycle of fiscal services. They accompany every step of the customer adventure and are utilized in each action taken by means of monetary institutions as they have interaction with purchasers.

Our research identifies seven vast mechanisms during which open fiscal records can create financial price. Three without delay improvement particular person and MSME shoppers: elevated access to fiscal features, superior consumer comfort, and more desirable product alternatives. The other four mechanisms at once benefit economic institutions: multiplied operational efficiency, enhanced fraud protection, stronger group of workers allocation, and decreased friction in records intermediation.

To dimension the average financial cost that open economic facts can create, they quantify the talents of 24 use situations in banking and funds. They then scale up from these use cases to develop a broader view of the macroeconomic positive aspects.

For buyers in the financial features existence cycle, benefits consist of right here:

  • improved entry to economic capabilities. statistics sharing allows for shoppers to buy and use economic capabilities to which they might now not in any other case have entry. as an instance, the place restricted facts from natural documentary sources may additionally disqualify buyers from accessing loans, open fiscal data can aid check the creditworthiness of borrowers through sourcing hire, telephone, and utility expenses. people and MSMEs with skinny info or no formal statistics can profit access to formal credit, commonly for the primary time. One Experian look at confirmed that together with utility data allowed 20 % of customers with scant documentation in assist of their credit score application to circulation on to develop into “thick-file” valued clientele. Scaling such beneficial properties to an economy-huge degree, they discover that elevated access to credit score the usage of option facts might raise an financial system’s credit-to-GDP ratio via 20 groundwork facets within the united states and the ecu Union. In India, the lift could be as much as a hundred thirty foundation aspects, the equivalent of about $eighty billion to $90 billion in GDP by using 2030.
  • better consumer convenience. facts sharing saves time for valued clientele of their interactions with their fiscal features issuer. MSMEs can provide documentation quicker all the way through consumer onboarding, as an example. Open access to data on purchasable personal loan items, with purposes automatically prefilled, makes it possible for buyers to follow for loans with out wanting to make use of personal loan brokers. This now not simplest eases the procedure but also enables shoppers to benefit from the most advantageous fees. in the uk, which introduced its Open Banking device in 2018, startups use open-banking statistics to permit short and easy loan functions to all collaborating providers for gratis, not like natural mortgage brokers who cost arrangement costs.
  • more desirable product alternatives. Open financial information can develop and increase the latitude of product alternate options attainable to valued clientele, saving them cash. for example, an open-information ecosystem makes it more convenient to swap bills from one establishment to a further, assisting retail and MSME valued clientele obtain the foremost yield.
  • For financial institutions, benefits span the whole existence cycle and include the following:

  • improved operational effectivity. since most records are still present in actual documents or disparate digitized sources, open economic facts might reduce fees and make it simpler to adopt automation applied sciences, with the associated effectivity boost. this can enhance event for shoppers through merchandising faster and more clear interactions with providers. In India, for instance, using the national digital identification gadget, Aadhaar, for “understand your customer” (KYC) verification of retail consumers reportedly reduced costs for monetary associations from about $5 per client to $0.70. For mortgage underwriting, sharing debtors’ information permits regular mortgages to move through automated underwriting. monetary records sharing also helps keep away from distinct manual statistics handoffs that result in error, remodel, and less productive results. It enormously reduces the costs linked to remediating bad client relationship management statistics, currently estimated at 20 p.c of a customary economic establishment’s profits.
  • superior fraud prediction. The affiliation of certified Fraud Examiners estimates total fraud (together with however additionally extending past monetary functions) at more than $four.5 trillion annually, or the equal of about 5 % of global corporate profits. Fraud in fiscal services takes distinctive guises, including synthetic and traditional identity fraud, payments fraud, and credit score application fraud. true-time access to client facts can assist superior concepts to identify and in the reduction of prices concerning these and other types of fraud. Sharing statistics gives extra evidence and clues with which to flag suspicious endeavor. This helps institutions construct out their predictive modeling of fraud and seize circumstances prior. Cifas, a no longer-for-income fraud prevention firm in the uk, says that its contributors pronounced greater than 350,000 circumstances of fraud in 2019, combating fraud totaling £1.5 billion.
  • better workforce allocation. corporations can use open records to enhanced allocate and target their team of workers, assigning group of workers to the highest-price actions. This helps them more suitable focus their calls on excessive-chance purchasers, cut back the time spent monitoring credit of low-possibility purchasers, and in the end recover more debt.
  • reduced friction from records intermediation. This mechanism is most principal to economic associations before they have direct potential of a prospective customer, such as in lead generation or personal loan origination, and so seem to purchase and use information from third-birthday party suppliers. The lacking details can range from basic identification facts to more behavioral tips. Open statistics methods enable direct access to records by using application programming interfaces (APIs) for records intermediation, which reduces friction. in the u.s., for example, the place almost half of all personal loan providers count on third-celebration records for loan origination, corresponding to credit facts, KYC information, and property valuation statistics. These data can can charge as much as $80 per loan utility, however with open information for finance, a whole lot of this tips is becoming greater publicly attainable.
  • display 1 demonstrates the knowledge financial positive aspects by means of place from an example use case linked to each of the seven mechanisms for developing cost. The bubbles in blue characterize the largest advantage gain.

    show 1

    We try to supply individuals with disabilities equal access to their website. if you would like suggestions about this content they might be satisfied to work with you. Please electronic mail us at: The competencies value of open financial information tiers from 1 % to as a whole lot as 5 percent of GDP, reckoning on financial constitution and stages of monetary entry

    Aggregating the advantage GDP affect across the 24 use circumstances to the economic system degree, they discover tremendous price at stake average and for all market individuals. the entire expertise GDP have an impact on from open monetary facts in 2030 is maximum for India, at four to five percent. They estimate the affect for the eu Union, the UK, and the united states to be between 1 and 1.5 percent of GDP (show 2).

    demonstrate 2

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    The ameliorations are the effect of a few components, usually structural features of economies. above all, rising economies are inclined to have reduce ranges of financial entry and less financial depth, which skill the lift in value creation they may obtain with open facts is enormous. India has big unmet want for retail and MSME credit score. It thus has larger economic boom talents for every unit of actual capital introduced, as a result of open fiscal records improves credit score access.

    MSMEs additionally benefit from time saved in opening debts; this might translate into higher GDP, assuming the time saved become deployed in market-primarily based economic actions instead of, say, amusement. In India, the time saving accruing to MSMEs may make them the greatest beneficiary segment, with more than 60 p.c of the skills financial cost from their use cases accruing to them.

    in the united kingdom and the us, by using evaluation, whereas they estimate that people would trap the largest share of value, fiscal institutions even have significant cost at stake. in the European Union, economic institutions would benefit the biggest share of price, pretty much forty five % of the entire.

    For each region, they find differences within the share of GDP impact in every principal step in the monetary functions lifestyles cycle and for each of the seven mechanisms.

    India stands out, with a superior share of financial value, about 75 % of the whole, coming from the decisioning and onboarding component of the life cycle, specially linked to improved entry to fiscal functions. here's as a result of the big knowledge of opening entry to credit to presently excluded people and MSMEs. more desirable user convenience from simplified onboarding techniques for brand spanking new clients, particularly MSMEs, also saves significant amounts of time.

    in the European Union, the United Kingdom and the U.S., the share of financial value from decisioning and onboarding is lessen than that in India, whereas the share from servicing and monitoring is larger, ranging between 35 and 45 % of the whole. in the u.s., the cost at stake when it comes to decisioning and onboarding is greater than in the European Union as a result of the dimension of the credit score gap for the nation’s many MSMEs.

    The main change between the ecu Union and the United Kingdom is within the breakdown of skills cost linked to servicing and monitoring. within the uk, they estimate essentially half of this price may stream from more suitable product options, driven by means of the potential for MSMEs to enhance their deposit yields via simpler account switching. within the European Union, the place the commonplace MSME is below half the size of those in the uk and complete MSME discounts are lessen, the relative capabilities cost coming from account switching is smaller.

    capturing the whole abilities cost of open facts for finance requires records standardization and breadth of information sharing

    The cost advent mechanisms require various stages of facts standardization and breadth of facts sharing for their expertise to be captured (display 3).

    show 3

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    by means of standardization, they suggest the extent to which standardized mechanisms exist for sharing records and the linked cost of access. In some use situations, information sharing occurs handiest via advert hoc capacity. for example, buyers wanting to acquire automatic access to aggressive mortgages deserve to deliver the equal selected loan software information to distinct suppliers. To operate at scale, different facts-sharing use instances require information to be sourced conveniently through standardized APIs at minimal charge.

    Breadth refers to how greatly statistics are shared and the mechanisms in region that force that facts sharing. Some use instances work when people can request certain statistics to be shared on an advert hoc groundwork. as an example, patrons can improvement from quicker personal loan closure when they are capable of grant their potential lender on-off access to the required records. To operate at scale, different use instances require data sharing over time across a wide range of forms of monetary facts, albeit with customer consent. An instance of an ecosystem with broad records sharing is India, the place banks need to share all client information including own nonfinancial and financial information at the request of buyers via private however totally standardized APIs developed on a publicly constructed expertise ecosystem called IndiaStack. consumers can choose to share their statistics with digital nonbank lenders by means of an app to secure loans.

    From their research, they see that consumers (both people and MSMEs) require reasonable ranges of standardization and breadth of information sharing to reap the advantages of open records. institutions, in contrast, could best access full advantages when the stage of standardization and breadth of information sharing are larger.

    Economies fluctuate in their existing ranges of records standardization and breadth of information sharing

    The class of facts-sharing ecosystem used in an financial system is dependent upon varied elements together with native market situations, the robustness of current digital monetary infrastructure, and rules, together with buyer protection legal guidelines and mechanisms. within the 4 economic areas on which they center of attention, they discover colossal modifications within the degree of standardization and breadth of statistics sharing (demonstrate 4).

    demonstrate 4

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    in the European Union and the United Kingdom, as an instance, they find a excessive degree of standardization combined with exceptionally much less breadth of information sharing. In such information ecosystems, a restricted subset of fiscal facts is attainable by way of totally standardized and controlled APIs. The data are attainable and usable for third-birthday party provider providers such as monetary know-how corporations and other banks. for instance, in the united kingdom, APIs are mandatory for many account and direct debit data, equivalent to tackle, beneficiary, and fee time stamp. entry to statistics backyard of the subset is greater restricted and on the discretion of each and every particular person economic capabilities company.

    within the European Union, the second price functions directive stipulates that statistics certain to funds be shared via enormously standardized APIs. at the equal time, separate facts privateness rules preclude the sharing, harvesting, and use of different economic and nonfinancial facts, including, for instance, screen scraping, a commonplace kind of information gathering within the u.s..

    For its half, the U.S. has a extensive latitude of facts sharing, however information standardization is extra constrained. monetary statistics aggregators broker statistics circulation between suppliers and users, with limited buyer manage. this is essentially because of a lack of strong federal rules regarding records privacy and a personal-market strategy to statistics sharing. This has made inner most records aggregators the de facto standard setters for how records are shared.

    In India, a comparatively extensive latitude of facts is shared and there is some degree of standardization. inner most APIs in India are developed by using licensed information aggregators on IndiaStack. information aggregators broking service information sharing throughout institutions the use of this normal, and consumers can view the facts and share without delay with charge methods players.

    simplest low to reasonable tiers of economic value are obtainable with nowadays’s tiers of information standardization and facts-sharing breadth

    a country’s level of records standardization and breadth of information sharing units the knowledge price from open fiscal statistics it could entry these days. exhibit 5 indicates the potential value the european Union, the United Kingdom, the us, and India might derive from open statistics, and their latest degree of standardization and breadth of facts sharing. (click on the nation name to exchange view).

    within the European Union, the United Kingdom, and the united states, latest records ecosystems leave a good deal of the skills value at stake inaccessible.

    each the united states and the eu Union can at present seize handiest a small fraction of the abilities price from open fiscal statistics—less than 10 percent, in their estimate. in the u.s., the constraint is lack of standardization, whereas in the European Union it is proscribed breadth of records sharing. in the uk, a little bit more price—we estimate between 30 and forty %—is at the moment purchasable.

    India is stronger poised to capture cost these days. Its open information atmosphere positions it to access between 60 and 70 p.c of the capabilities price that open financial facts may offer, supplied different enablers are in area, as they describe within the subsequent area.

    Navigating possibility and implementation challenges

    capturing the cost from open fiscal facts requires more than ample facts standardization and breadth of statistics sharing: users—both buyers and providers—have to believe the system, and infrastructure is required to help it. These elements collectively give the groundwork for knowledge financial positive factors from open financial statistics, each those which they dimension and people that future innovation may make possible.

    neatly-situated have faith. An open-information ecosystem can function simply most effective with the aid of reaching a stage of neatly-centered have confidence among all of the participants. devoid of this, market participants—even if particular person buyers or organizations—might also decide out. monetary records are above all delicate, and users are more likely to are looking to share statistics in the event that they comprehend what they are sharing and why that sharing is advantageous to them. potent client economic protections are additionally fundamental to stay away from economic discrimination and foster have confidence. Absent an computerized or easy mechanism for correction of records mistakes and updating to reflect adjustments to lifestyles circumstances, complicated information might block an individual or MSME from gaining access to a obligatory economic product at a fair price. person believe is also inspired when threats to cybersecurity are expected and mitigated. Breaches can ensue all through transfer of facts, or at any establishment concerned within the open statistics ecosystem, such as a bank or fintech. for example, when information transfer is performed by means of APIs, a hacker who breaches such an API can hijack any apps that use the interface to assemble records. as a result, open APIs require strong customer authentication. successful facts ecosystems tend to have constructed-in safeguards to make certain privateness and security whereas giving users entry to their own facts, choice rights over who else has entry to that facts, and transparency about who has accessed it.

    powerful financial infrastructure. economic debts and digital payment channels, along with digital identification methods with broad population insurance, are crucial structural elements needed to harness the value of open financial statistics. high-assurance digital id helps user handle of statistics, privacy protections, security for online interactions, and reduces friction in managing online bills. Open-statistics systems without high-assurance digital IDs might make it more durable for buyers to retain song of their digital footprint or use their information securely and efficaciously. on the identical time, digital identification can aid supply support robust customer authentication and aid manage towards cyberattacks. for a lot of emerging economies, primary internet entry, smartphone penetration, and reliability of electrical energy are additionally necessities for taking pictures the entire financial price of a data-sharing ecosystem. Shortfalls in these points limit the price of open economic statistics that could be captured.

    searching forward: the position of innovation in open information unbound

    taking pictures the value attainable nowadays from open economic facts will require innovation. on the identical time, the greater cost turns into purchasable, through increases in standardization, breadth, or each, the more the potential for innovation will develop, probably beyond use circumstances they can envisage today.

    Market members will deserve to increase and scale products and capabilities that tackle particular use cases, together with but now not restrained to the 24 essential ones they profile in this analysis. that allows you to entail deciding on new enterprise alternatives, designing consumer value propositions, and scaling new business fashions across the economic features cost chain.

    different types of innovators, from average banking incumbents to technology platform-based players and new fintech startups, could all play significant roles, focusing on their areas of electricity and aggressive abilities. The specific kinds of innovators would range by market and rely on the structure of the monetary statistics ecosystem. increasing the boundaries of open-data enablement would make new kinds of use cases viable, fueling stronger innovation and stronger value catch.

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