Financial Analysis and Analytics (online) (2024)

Financial Analysis and Analytics (online) (1)

Financial Analysis and Analytics (online)

Course details

Code
O23C045N8Y
Fees
£425.00
Dates
Mon 29 Apr 2024 - Fri 10 May 2024
Time
19:00-20:30 (UK time)
Location
Online
Contact
business@conted.ox.ac.uk
+44 (0)1865 286958
Application status
Applications being accepted

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Financial Analysis and Analytics (online) (2)



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Overview

This course will provide you with a condensed, non-technical (but very practical) introduction to key concepts and techniques of financial (statement) analysis.

You will be taken through classical methods, ratios and measures, and later combine those with forecasting techniques, newer data and analytics capabilities.

This course will also reflect and show-case best cases from industry, how financial analysis and (data) analytics in particular can build ground for:

  • data-centric management decisions

  • making product value chains more efficient

  • Making products smarter

  • helping to make customer responses more personalized.

By taking this course, you will gain the foundational knowledge, confidence and awareness of how to use financial analysis and what (data) analytics could add to the overall financial analysis equation, having the potential to enhance the top and bottom line of an enterprises’ modus operandi.

Dates, Times and Delivery

The Financial Analysis and Analytics (online) course runs over two weeks, from 29 April- 10 May 2024, with online sessions delivered via Microsoft Teams.

There will be a combination of virtual presentations, interactive group work/discussions and hands-on application exercises.

Sessions will be held on Mondaysand Fridaysfrom19:00-20:30(UK time) on:

  • Monday 29 April

  • Friday 3 May

  • Monday 6 May

  • Friday 10 May

A world clock, and time zone converter can be found here: https://bit.ly/3bSPu6D

This is a ‘virtual classroom’ course.

To replicate the experience of a classroom, the sessions are ‘live’ and are not recorded.

No in-person attendance at Oxford is required and you do not need to purchase any software.

Accessing Your Online Course

Details about accessing the private MS Teams course site will be emailed to you during the week prior to the course commencing.

Please get in touch if you have not received this information within three working days of the course start date.

Programme details

Session 01: Introduction to financial statements and associated terminology (29 April)

  • Financial statements and associated terminology
  • Definitions, background information for a first general understanding
  • The financial analysis process
  • Analysis of a company’s modus operandi (via qualitative analysis approaches)

Session 02: Introduction to financial statement analysis (3 May)

  • Common size horizontal and vertical financial analysis
  • Financial ratio analysis (activity, liquidity, solvency, profitability) and Credit risk
  • Introduction to ratios for valuation and the Du-Pont formula / model
  • Typical value creation drivers of a firm

Session 03: Introduction to forecasting and data (6 May)

  • Pro forma analysis and typical value (creation) drivers (financial & non-financial)
  • Introduction to financial forecasting techniques
  • Big data revolution: turning data into business (advantages)
  • Different sources of data, data mining techniques & data visualization
  • Introduction to data analysis (learning from data, measuring it, controlling it and communicating results)
  • how to leverage data and analytics to drive strategy and innovation across firms

Session 04: From Business Intelligence to Analytics (10 May)

  • Introduction to analytics and its different forms
  • Real-life cases and applications from different industries and business functions such as sales, marketing, customer / client services, inventory management
  • Pros, Cons and Limits of data-driven decision making
  • Course wrap-up, further readings & sources

Digital Certification

To complete the course, you will be required to attend and participate in all of the live sessions on the course in order to be considered for a certificate. Participants who complete the course will receive a link to download a University of Oxford digital certificate. Information on how to access this digital certificate will be emailed to you after the end of the course.

The certificate will show your name, the course title and the dates of the course you attended. You will also be able to download your certificate or share it on social media if you choose to do so.

Fees

Description Costs
Course Fee £425.00

Payment

Fees include electronic copies of course materials.

All courses are VAT exempt.

Register immediately online

Click the “book now” button on this webpage. Payment bycredit or debit card is required.

Tutor

Konrad Kleinfeld

Tutor

Financial Analysis and Analytics (online) (3)

Konrad is a qualified banker, former derivatives trader and seasoned investment professional with over 20 years of industry experience in banking, capital markets and asset management. With his extensive background, he offers a unique perspective on both investment strategies and the needs of capital-seeking businesses and corporations in his engaging lectures and seminars. Konrad is currently Head of EMEA Sales for Fixed Income ETFs at one of the world's leading asset management firms.

Prior to his current role, Konrad spent five years at BlackRock where he covered pension funds and larger German (multinational) corporations. Prior to joining BlackRock, he was a Vice President at Nomura International plc in London and Frankfurt, where he enjoyed a successful seven-year tenure. Konrad began his career as a corporate bond and credit derivatives trader, honing his skills and building a strong foundations in the financial industry.

In addition to his professional achievements, Konrad is a dedicated part-time lecturer at two prestigious German business schools, where he teaches various aspects of finance and economics to both masters and undergraduate students. In addition, he had the privilege of being a summer school lecturer on finance and artificial intelligence (AI) at King's College London, University of London, from 2016 to 2018. Konrad also shares his expertise as a tutor at Oxford, focusing on topical issues in financial services and AI.

Konrad's educational achievements include a BA in Banking, an Advanced Diploma in International Development from the University of Cambridge and an Executive MBA from Cass Business School, City, University of London. To further enhance his knowledge and expertise, he has obtained numerous financial certifications. His insights have been recognised and he has been quoted and interviewed by several prominent German TV and print media, including ARD, Tagesschau, n-tv, FAZ, DAF, Sueddeutsche and Handelsblatt.

Application

If you would like to discuss your application or any part of the application process before applying, please click Contact Us at the top of this page.

Level and demands

This course is designed for those in middle management and/or those who have recently moved into a managerial role, who need a refresh or introduction to financial statement analysis, data and analytics.

It will also be beneficial to entrepreneurs, individuals and start-ups that want to gain a good overview of the wider subject area.

IT requirements

This course is delivered online usingMicrosoftTeams. You will be required to follow and implement the instructions we send you to fully access Microsoft Teams on the University of Oxford's secure IT network.

To participateyou mustbe familiar with using a computer for purposes such as sending email and searching the Internet. You will also need regular access to the Internet and a computer meeting our recommendedminimum computer specification.

It is advised to use headphones with working speakers and microphone.

Information on financial support

View all business and management courses

As an expert in financial analysis and analytics, I bring over [X] years of experience in banking, capital markets, and asset management. My qualifications include a BA in Banking, an Advanced Diploma in International Development from the University of Cambridge, and an Executive MBA from Cass Business School, City, University of London. Throughout my 20 years in the industry, I have worked as a qualified banker, derivatives trader, and currently serve as the Head of EMEA Sales for Fixed Income ETFs at one of the world's leading asset management firms. I have a proven track record, having covered pension funds, larger corporations, and worked with prestigious German business schools as a part-time lecturer.

The Financial Analysis and Analytics (online) Course offered by Oxford University is an exceptional opportunity for individuals seeking a comprehensive understanding of key concepts and techniques in financial analysis and data analytics. This course, with the code O23C045N8Y, runs from April 29, 2024, to May 10, 2024, with sessions held on Mondays and Fridays from 19:00 to 20:30 (UK time).

Course Overview:

  1. Introduction to Financial Statements and Associated Terminology (April 29)

    • Definitions and background information for a general understanding
    • The financial analysis process
    • Qualitative analysis approaches for analyzing a company's modus operandi
  2. Introduction to Financial Statement Analysis (May 3)

    • Common size horizontal and vertical financial analysis
    • Financial ratio analysis (activity, liquidity, solvency, profitability) and credit risk
    • Introduction to ratios for valuation and the Du-Pont formula/model
    • Typical value creation drivers of a firm
  3. Introduction to Forecasting and Data (May 6)

    • Pro forma analysis and typical value (creation) drivers (financial & non-financial)
    • Introduction to financial forecasting techniques
    • Big data revolution: turning data into business (advantages)
    • Different sources of data, data mining techniques & data visualization
    • Introduction to data analysis and leveraging data and analytics to drive strategy and innovation across firms
  4. From Business Intelligence to Analytics (May 10)

    • Introduction to analytics and its different forms
    • Real-life cases and applications from various industries and business functions
    • Pros, cons, and limits of data-driven decision-making
    • Course wrap-up, further readings & sources

Program Details:

  • Delivery Method: The course is conducted online via Microsoft Teams.
  • Sessions: Virtual presentations, interactive group work/discussions, and hands-on application exercises.
  • Tutor: Konrad Kleinfeld, a qualified banker with over 20 years of industry experience.
  • Application Status: Applications are currently being accepted. To apply, contact business@conted.ox.ac.uk or +44 (0)1865 286958.

Digital Certification:

  • To receive a University of Oxford digital certificate, participants must attend and actively participate in all live sessions.
  • The certificate includes your name, the course title, and the dates of attendance.

Fees:

  • Course Fee: £425.00
  • Payment: Credit or debit card payments are accepted and can be made online.

Tutor Information:

  • Konrad Kleinfeld, the course tutor, has a wealth of experience in banking, derivatives trading, and asset management.
  • He is currently the Head of EMEA Sales for Fixed Income ETFs at a leading asset management firm.
  • Konrad is a part-time lecturer at prestigious German business schools and has an Executive MBA from Cass Business School.

Application and Requirements:

  • This course is designed for middle management, recent managerial role entrants, entrepreneurs, individuals, and start-ups seeking an overview of financial statement analysis, data, and analytics.
  • IT requirements include familiarity with Microsoft Teams, regular internet access, and a computer meeting recommended specifications.

For further inquiries or to discuss your application, contact business@conted.ox.ac.uk or use the "Contact Us" option on the course page.

Don't miss this opportunity to gain foundational knowledge, confidence, and awareness in financial analysis and analytics from a reputable institution like Oxford University. Enroll now and enhance your capabilities in driving data-centric management decisions and building more efficient product value chains.

Financial Analysis and Analytics (online) (2024)

FAQs

How many questions are asked in FPA? ›

Of those, 110 questions are scored and 30 questions are unscored pretest items. The FP&A Part II exam contains 55 questions. Of those, 47 questions are scored and 8 questions are unscored pretest items. Candidates have no way of distinguishing between scored and unscored questions.

How do I pass a financial analyst interview? ›

How to prepare for a financial analyst interview
  1. Review the job description. ...
  2. Research the company. ...
  3. Review key concepts. ...
  4. Prepare for challenging interview questions. ...
  5. Consider your response to simple interview questions. ...
  6. Make a list of questions to ask.
Jan 26, 2023

Is financial analysis a hard skill? ›

Technical training, financial literacy, accounting knowledge, and analytics training are among the hard skills required for Financial Analysts. They should also possess soft skills such as critical thinking, clear communication, problem-solving, and leadership.

Is finance analytics hard? ›

While certain people find the pace of financial analytics to be exhilarating, challenging, and exciting, it can be stressful and even exhausting to others. In addition, the soft and hard skills necessary to be a successful Financial Analyst take years of education and training to acquire fully.

What is the salary of a FPA in the US? ›

How much does a Fpa make? As of Apr 4, 2024, the average annual pay for a Fpa in the United States is $92,631 a year. Just in case you need a simple salary calculator, that works out to be approximately $44.53 an hour. This is the equivalent of $1,781/week or $7,719/month.

How many years of experience do you have in FPA? ›

Typical profile of an FP&A senior analyst

Senior analysts usually come from accounting backgrounds and have 3-5 years of experience and an MBA. To continue advancing, senior analysts should be: “Good at dealing with people”: Communication skills will become increasingly important the further you go in your FP&A career.

What is the hardest part of being a financial analyst? ›

The need to manage risk

Financial analysts need to be able to manage risk effectively. This means being able to identify and assess risks and developing strategies to mitigate those risks. Despite these challenges, analysts play a significant role in the finance sector.

What should an entry-level financial analyst know? ›

In order to get an entry-level financial analyst job, you first need a bachelor's degree in accounting, finance, or a related field. You should also have a strong background in data, as well as excellent analytical skills. You need to be able to navigate various software in order to write and put together your reports.

Where do you see yourself in 5 years as a financial analyst? ›

#1 Sample answer for a mid-level candidate

“I'm someone who loves solving problems, so in five years, I'd love to be seen as the go-to financial analyst when departments or projects need to save money and achieve their business goals.

Do you have to be good at math to be a financial analyst? ›

Math skills : =Financial analysts need to be efficient in math, but their level of knowledge depends on the specific role. For example, an investment banker only needs basic math skills, but a fixed-income analyst needs to use complex equations to complete the tasks associated with their job.

What is the highest salary of a financial analyst? ›

The salary range for a financial analyst is $38K-$725K. The average salary for a Financial Analyst in US is $86,009.

Do financial analysts do a lot of math? ›

They need both strong math skills—specifically in statistics and probability—and computer literacy, as analysts use software to look at trends and make forecasts. These professionals should also have a good grasp of economics and know how to read and interpret financial statements.

Is financial analyst harder than accounting? ›

Taking into account those personality differences, there are also differences in the content of finance and accounting that can determine that one is harder than the other. Generally speaking, people consider accounting majors to be more difficult to study and pass than finance majors.

Is financial analyst a high stress job? ›

Even though Financial Analysts work long hours and sometimes must handle a lot of stress in the workplace, these professionals are well-compensated for their efforts.

Who earns more financial analyst or data analyst? ›

Salary. Data analysts typically earn a national average salary of $67,271 per year . In comparison, financial analysts earn about $67,786 per year . While these salaries are similar, they may vary based on your education, experience level and location.

What is asked in FP&A interview? ›

How do you model revenues for a company? This is one of the most common FP&A interview questions. There are three common ways to forecast revenues: bottom-up, top-down, and year-over-year.

What is the format of the FPAC exam? ›

The FPAC Exam

The Certified Corporate FP&A Professional exam is a two-part comprehensive computer-based exam consisting of multiple choice and spreadsheet-based questions. Part I of the exam tests your knowledge of business acumen, while Part II will test your ability to apply that acumen to real-world scenarios.

Is FP&A certification worth it? ›

Yes, FP&A Analyst certifications can be a significant asset for those transitioning from a different career path. These certifications typically cover essential financial planning, analysis techniques, and best practices, equipping career changers with the specialized knowledge needed in FP&A roles.

What makes a good FPA? ›

Each grade is weighted to a specific number of points so that the sum total makes up your grade point average (GPA), which in turn reflects your overall academic performance. A good college GPA on a standard 4.0 scale can fall between 3.0 and 4.0—or between a B and an A+.

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