AI Act is here – there is time to explain, get into the car.

Artificial Intelligence (AI) has become an integral part of our lives, from virtual assistants to self-driving cars. As AI systems become more sophisticated, so do the challenges associated with their deployment. In response, the European Union (EU) has introduced the AI Act, a comprehensive regulatory framework aimed at ensuring the safe and ethical use of AI technologies.

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From budget to Climate Transition Plan

As business models shift towards more balanced value generation, ESG (Environmental, Social and Governance) factors continue to receive increasing attention as part of sustainability-focused strategies. To measure environmental impacts, or climate in particular, carbon footprint has emerged as one of more popular non-financial metrics. & Inclusion embedded across all.

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Do businesses still need a rolling forecast?

A rolling forecast is a vital tool for large organizations in today's rapidly changing business landscape. By providing a flexible and agile approach to forecasting and budgeting, rolling forecasts help organizations to navigate uncertainty, adjust to the changing world, and stay ahead in the face of constant.

  

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Why is story telling an important skill in Finance

Organisations are more and more overloaded with data and information coming from the digitised world. Storytelling in Finance has become an important theme in the last couple of years as a result of a number of factors that influenced the way Boards or Executive Committees work. One way for Finance professionals to add more value and insight to quantitative data is to build context, background and leading thought through storytelling.  

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Focusing on talents, or fighting weaknesses?

- How to get to know your talents?

The Gallup test, also known as CliftonStrengths, is a tool that helps you identify individual talents and strengths based on a series of questions. The test result is available in two versions – Top 5 talents or 34 strengths. What is very useful, along with the result, the user receives a report with a description of its uniqueness. 

 

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Importance of statistics and machine learning in Finance

The importance of statistical and machine learning techniques in finance cannot be overstated. They are becoming increasingly important tools for businesses and investors, and are being used to analyse data, make informed decisions, and optimize business operations. By understanding and utilizing these techniques, businesses and investors can gain a competitive advantage and improve their financial performance. 

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The Pivotal Role of Product Control in Finance

Product control is an essential function within financial institutions, acting as a crucial bridge between the trading floors and the financial reporting mechanisms of the bank. This role gains importance in environments marked by complex and voluminous financial products. As financial markets evolve, the need for an accurate and reliable product control function becomes increasingly critical. This article explores the key aspects of product control in finance.

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From CSR to ESG – why did the shift happen?

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Technology will support us in building FP&A skillset

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Is ESG a defining moment for Accounting & Finance?

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How to become a Data Analyst?

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Code Versions Control - Best Practices

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Importance of effective code versions management

Effective management of code versions is crucial in the fast-paced world of software development. Code versioning involves tracking and organizing changes made to a project's source code over time. This article explores the importance of code version management, highlighting its benefits in terms of team collaboration, project stability, and software quality.

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Three main best practices in coding

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What are the top five tips for data engineer starting first job in data engineering?

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Definitions

Programming languages

These include Java, JavaScript, Python, Scala, .NET, C#, C++, PHP, SQL, Swift, CSS, HTML, Ruby, Ada. Programming languages ​​have different uses. For example, server and desktop languages ​​are: C, C++, C#, Java; mobile languages ​​ Android: Java and Kotlin, IOS: Swift, Objective-C; web languages ​​ Front end: HTML, CSS, Backend: Ruby, Python, PHP, Java. When recruiting, it is worth paying attention not only to what language the candidate knows, but also in what environment he used it and for what applications - desktop, mobile or web.

KPI

“ Not everything that can be counted counts and not everything that counts can be counted.” -Albert Einstein 

Key Performance Indicators (KPI’s) are critical to running a successful business, as they provide the leadership with view of what is actually happening with the business, much like an airplane’s instrument panel.  Ever thought of flying without knowing which direction you are going? Or How much fuel you have? 

               Successful KPI should have the following traits: 

  • Outcome-oriented - They need to set a goal. 
  • Quantifiable – They need to measurable 
  • Set in a defined time frame 
  • Reflective of you business strategy 

In summary they need to define, what need to be achieved, how much of it and by when in order for the business to fulfill the leaderships strategy.  

KPI’s can be used provide insight into all areas of an organization, such as: 

  • Measuring your customers and understanding your customers 
  • Monitor your financial performance 
  • Help control internal processes 
  • Help understand your staff 

               While collection the data for KPI’s in purely scientific.  Defining and interpreting a set of KPI’s can be quite an art.  Firstly, it’s relatively easy to design a set of KPI’s that will show what has historically happened to the business or where the business is now. Your KPI’s should be set to help reach your future goals, and provide early warnings should you defer from the set path. Secondly, if you measure everything, you likely won’t see everything. Your set of KPI’s cannot be overwhelming.  But will what matters now, matter in 12 months? Lastly, a KPI’s will be a just number, without an understanding of  the drivers behind it, and more importantly the consequences down the  road.     

Tier 1 capital ratio

Basel Committee on Banking Supervision 

The Basel Committee on Banking Supervision (BCBS) is an international committee formed to develop standards for banking regulation. As of 2022, it is made up of Central Banks and other banking regulatory authorities from 28 jurisdictions and has 45 members. 

The BCBS has developed a series of highly influential policy recommendations known as the Basel Accords. These are not binding and must be adopted by national policymakers in order to be enforced, but they have generally formed the basis of banks' capital requirements in countries represented by the committee and beyond. 

Regulatory capital 

A capital requirement (also known as regulatory capital) is the amount of capital a bank or other financial institution has to have as required by its financial regulator. This is usually expressed as a capital adequacy ratio of equity as a percentage of risk-weighted assets. These requirements are put into place to ensure that these institutions do not take on excess leverage and risk becoming insolvent. 

Under Basel III regulatory capital focuses on high-quality capital, predominantly in the form of shares and retained earnings that can absorb losses. 

Total available regulatory capital is the sum of two elements – Tier 1 capital, comprising CET1 and AT1, and Tier 2 capital. 

Tier 1 capital 

Known as going concern or core capital, Tier 1 is used to fund a financial institution's business activities. It includes Common Equity Tier 1 (CET1) capital and Additional Tier 1 (AT1) capital. 

Common Equity Tier 1 capital (CET1): 

  • Is the highest quality of regulatory capital, as it absorbs losses immediately when they occurs. 

  • Sum of common shares and stock surplus, retained earnings, other comprehensive income, qualifying minority interest and regulatory adjustments 

Additional Tier 1 capital (AT1): 

  • Also provides loss absorption on a going-concern basis, although AT1 instruments do not meet all the criteria for CET1. 

  • Sum of capital instruments meeting the criteria for AT1 and related surplus, additional qualifying minority interest and regulatory adjustments 

 

Risk-Weighted Assets 

RWAs are all assets held by a bank that are weighted by credit risk. Most central banks set formulas for asset risk weights according to the Basel Committee’s guidelines. 

The different classes of assets held by banks carry different risk weights and adjusting the assets by their level of risk allows banks to discount lower-risk assets. When calculating the risk-weighted assets of a bank, the assets are first categorized into different classes based on the level of risk and the potential of incurring a loss. The banks’ loan portfolio, along with other assets such as cash and investments, is measured to determine the bank’s overall level of risk. This method is preferred by the Basel Committee because it includes off-balance sheet risks. It also makes it easy to compare banks from different countries around the world. 

Riskier assets, such as unsecured loans, carry a higher risk of default and are, therefore, assigned a higher risk weight than assets such as cash and Treasury bills. The higher the amount of risk an asset possesses, the higher the capital adequacy ratio and the capital requirements. 

Tier 1 capital ratio 

Is the ratio of a bank's Tier 1 capital to its risk. It is expressed as a percentage of a bank's risk-weighted credit exposures. The enforcement of regulated levels of this ratio is intended to protect depositors and promote stability and efficiency of financial systems around the world. 

The Basel III agreement, published in 2010, raised the capital requirements. It also introduced the distinction between Tier 1 and Tier 2 capital. Under the new guidelines, the minimum CET1 capital ratio was set at 4.5%, and the minimum Tier 1 capital ratio (CET1 + AT1) was set at 6%.  

 

 

Bonds

A bond is a type of investment — an investor essentially loans a company money when they buy a bond. In return for loaning (or investing) that money, the buyer receives the promise of future repayment and a fixed rate of interest above their initial investment. 

Companies, organizations, and governments issue bonds for other entities to buy so they can fund projects quickly. Issuing a bond puts the issuer in debt to a buyer — the money has to be paid back with interest. The bond comes with a contract that explains how much the bond is worth when it must be repaid, and how much interest will be charged.  The main difference is that the securities in DCM are bonds, rather than stocks or shares of a company.   Bonds consist of a wide range of different securities, with different risk-return profiles and characteristics.  

 

Here is a list of the more common bonds bought and sold in debt capital markets, with a general explanation of their characteristics: 

1. Investment-grade bonds: These bonds make up most of the market and carry low risk and low interest rates. They are generally used to raise money for funding working capital and regular operations. 

2. High-yield bonds: Remember that yield also means interest. Therefore, these are the high-interest bonds. They are also the most dangerous types because these are generally issued by companies that may not meet their payment obligations. 

3. Government bonds: Governments also sell bonds to investors to fund their operations. Perhaps you know them by their US name, which is Treasuries. These are generally safer than corporate bonds, but the terms of these bonds are still reliant on how the market evaluates their creditworthiness. Generally speaking, however, government bonds are backed by the full faith of the government and are of high creditworthiness. 

4. Emerging markets bonds: These are issued by developing countries, usually by their government. These countries generally have increased political and economic pressures meaning that their credit ratings are usually lower, resulting in higher yield. 

5. Municipal bonds: The US has the biggest market for these types of bonds. These are issued by a variety of government bodies, such as cities, school districts, and counties. 

Debt Securities

Debt securities are promises that a company makes to lenders in exchange for funding – such as bonds, treasuries, money market instruments, etc. They are generally offered with the addition of interest rates, which do not change and are dependent on the perceived ability of the borrower to repay their debt. For example, if the borrower does not seem to have the ability to repay, then the interest rate on a debt security will be higher; the opposite occurs if the borrower possesses such ability. The two major ways of obtaining debt securities are either through the primary market or the secondary market.  

Interest Rates

An interest rate is a percentage of a loan, or lent money, that the borrower is required to pay back to the lender in addition to the original amount. Most bonds have a fixed interest rate, meaning it’s set when the bond is issued and does not change over the life of the bond. However, some debt securities have variable interest rates, meaning the interest rate can change based on an underlying metric 

Debt Capital Markets (DCM)

Debt Capital Markets (DCM) Group is the group that connects investment bankers and corporate issuers. Debt Capital Markets (DCM) groups are responsible for providing advice directly to corporate issuers on the raising of debt for acquisitions, refinancing of existing debt, or restructuring of existing debt. These teams operate in a rapidly moving environment and work closely with an advisory partner – the Investment Banking Division (IBD).  

Fixed-Income Markets  

Debt capital markets are also called fixed-income markets because investors see a stable or fixed rate of return on their investment — an interest rate.  

Primary market  

In the primary debt capital market, governments and companies issue bonds directly to the consumer, such as a company looking to secure debt funding. 

Secondary market  

The secondary debt capital market involves the resale of already issued bonds for a higher or lower price, depending on the market, where individuals who have already received their bond certificates go to resell the bond for either a higher or lower price, depending on supply and demand 

Data Analysis

It is a process of examining and interpreting data using analytical and statistical methods to gain insights and draw conclusions. It involves collecting, cleaning, transforming, and organizing data in a structured manner to uncover patterns, trends, and relationships within the data.

Machine Learning

Machine learning is the process by which computers learn and make predictions or decisions based on patterns and data, without being explicitly programmed.

Data Science

Data science is a broad field that involves extracting knowledge and insights from structured and unstructured data through various methods, such as statistical analysis, machine learning, and data visualization, to inform decision-making and solve complex problems. It encompasses the entire data lifecycle, from data collection and cleaning to analysis and interpretation, to uncover valuable patterns and trends for businesses and organizations.

Product control - interested in investment banking?

Check yourself if you have the basic knowledge required to apply for Product control roles.

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Data scentists - ready to see data skills in action?

Interesting role to participate in international projects, focusing on data analytics in the area of financial crime.

 

Can Data Engineers help to build a bank of the future?

Great international data & cloud projects in shaping the future of financial industry

Who we are

We are world-class professionals experienced in management, regulatory and statutory reporting. We know how to find key information in oceans of data and provide advice to leaders on financial performance of their businesses and support them in planning for the future. In our work we harness the power of advanced, cloud-based data tools and technologies. On top of it we make use of advanced analytics, translation & visualization skills to bring expert solutions to business challenges.

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