Bionic Turtle’s Week in Risk — Ending September 11th

Reputation (Wells Fargo)

  • Next Test for Wells Fargo: Its Reputation (The bank’s image is at risk following a $185 million fine for ‘widespread illegal’ sales practices) San Francisco bank, with its folksy stagecoach logo, has positioned itself as a solid, Main Street lender that avoided the excesses of the financial crisis and other missteps on Wall Street. That image is in danger now of being challenged by disclosures of improper account and product openings by employees unveiled in an enforcement action the bank entered into Thursday.


  • WTF WFC you tie people’s pay or employment to a given outcome, you’re going to get more of that outcome. Which is fine, but there will be unintended consequences that may or may not be foreseen. In this case, ruthless new account opening targets led to 2 million fraudulently created accounts. Which is unbelievable, unfathomable. Until you remember that just a decade ago the same thing was happening with lending and mortgages … This is way worse than JP Morgan’s London Whale. That didn’t touch anyone outside of a handful of traders in a remote office. This one involves ordinary people, lots of ’em. The scope of it is amazing, even if the dollar amount is not terribly consequential. Just the idea that something like this could be so widespread, within one of the most respected companies in America, is mind-boggling.
  • Wells Fargo Opened a Couple Million Fake Accounts that’s about 2.1 million fake deposit and credit-card accounts, of which about 100,000 — fewer than 5 percent — brought in any fee income to Wells Fargo. The total fee income was $2.4 million, or about $1.14 per fake account. And that overstates the profitability.
  • Here is the full text of the CFPB’s Consent Order

Low rates and cash

  • Cash in a Box Catches On as Swiss Negative Rates Bite (Demand surging for insurance to protect cash stores from theft, Businesses resorting to vaults as banks pass on negative rates) Holding AG said it charges about 1,000 francs ($1,020) a year to insure 1 million francs, a fraction of the 7,500 francs a company would pay to park the same amount in a bank for a year — assuming the lender passes on the full charge. But that amount doesn’t include the cost of logistics such as transport or security features like reinforced walls, guards and alarm systems.
  • Now Companies Are Getting Paid to Borrow consumer-products company Henkel AG and French drugmaker Sanofi SA each sold no-interest bonds at a premium to their face value Tuesday. That means investors are paying more for the bonds than they will get back when the bonds mature in the next few years.



  • Banks: Too dull to fail? (Regulators have pushed the sector to behave more like utilities, but similarities only go so far) of the decline is down to the economic environment — anaemic growth combined with slimmer margins based on ultra-low rates has trimmed profits. But the big constraint has been regulation. Banks have to fund themselves with far more equity and relatively less debt — a logical response to the excessive balance sheet leverage of the pre-crisis years, but all the same a shock to the system. Those capital requirements have tripled or quadrupled when headline numbers and tighter definitions of capital and asset risk are factored in. At the same time so-called liquidity rules have obliged banks to hold far bigger pots of cash — redundant money — and take less risk by limiting the extent to which potentially lucrative long-term loans can be funded with cheap short-term money … There is, however, a second change that is bringing utility-market dynamics to specific areas of banking. Most obviously, it is happening in the area of payments — an unexciting but core part of banking, where commoditisation is taking hold as an already utility-like function attracts competition from technology companies.



Climate and ESG


Finance (financial analysis)

  • 2017 Guide to CFA Program Curriculum Changes continues to be a four-letter word. Identifying, measuring, and managing market risk—the risk arising from changes in the markets because of movement in stock prices, interest rates, exchange rates, and commodity prices—is vitally important. Managing market risk relies heavily on the use of models that attempt to capture elements of prices as well as market sensitivities. But investment industry practitioners must also be savvy regarding deploying such models as value at risk (VaR)—understanding and appreciating their strengths and limitations and identifying when to supplement with another model/approach.
  • Investors’ need for start-up knowledge spurs new breed of analyst


  • No quants need apply: new trends in risk hiring (Soft skills are growing more important in the recruitment of risk managers) of these trends, risk managers need to juggle new and broader duties. And they don’t necessarily involve creating Monte Carlo simulations in Matlab or modelling gamma risk in an electricity options portfolio. Instead, the focus has increasingly shifted to people skills: the ability to collaborate and communicate effectively with traders, executives and compliance officers … Others note that the risk manager’s traditional toolkit has been undermined by the growing role of unpredictable, difficult-to-model factors in the markets, such as the recent Brexit vote in the UK, which roiled currencies and equities, or government renewable-energy policies, which introduce a weird new logic into energy trading.
  • The ‘Soft Skills’ Employers Are Looking For An analysis of 2.3 million LinkedIn profiles shows “Communication, at the top of the list, was followed by organization, teamwork, punctuality, critical thinking, social skills, creativity, interpersonal communication, adaptability and having a friendly personality … Which ones won’t necessarily give you a boost? LinkedIn found the least in-demand skill listed on member profiles was business planning. Other skills that didn’t grab employers: emotional intelligence, team building, coaching, management, analysis, team management, resume writing and business.
  • There’s a Simple Reason Why UBS Is Hiring So Many Quants
  • Why Singapore’s kids are so good at maths Singapore curriculum is more stripped down at primary level than in many western countries, covering fewer topics but doing so in far greater depth — a crucial factor in its effectiveness.


  • Want a Hedge Fund Job? Knowing About Wavelets Improves Your Odds, mathematicians and programmers don’t come cheaply. Ph.D.s from top colleges can earn an entry-level base salary of as much as $150,000 a year at large hedge funds, and those with undergraduate degrees can earn $130,000, according to Options Group. After five years, some quants earn a base of as much as $200,000 a year. Research analysts starting at a hedge fund, with up to three years of experience in finance, can be paid $80,000 to $100,000.
  • Bank hiring: Wall St turns to machines to find better-behaved bankers (Why a US division of Deutsche Bank is using matchmaking tests to hire graduates), the company that carries out the profiling, says there are no right or wrong answers, and no politically-correct judgments — only comparisons of candidate responses with those of top performers at the organisation doing the hiring. If those people happen to be difficult loners who never back down, so be it.” The key indicators in Koru’s behavioural profiling are: Teamwork (Collaborates effectively with colleagues), Ownership (Takes initiative in the service of others), Polish (Communicates professionally and confidently), Impact (Ability to use time efficiently and target resources), Rigour (Holding analytical skills and ability to mine data), Grit (Tenacious and resilient in fast-paced environment), Curiosity (Capacity to learn quickly, also creative and innovative).


Fintech and cyber

Data science

  • Data Science Foundations: Data Mining Poulson covers data sources and types, the languages and software used in data mining (including R and Python), and specific task-based lessons that help you practice the most common data-mining techniques: text mining, data clustering, association analysis, and more. This course is an absolute necessity for those interested in joining the data science workforce, and for those who need to obtain more experience in data mining.


Books and papers






Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Recent Posts

Introduction to the Quantitative Foundation of Risk – Present Value

A common question asked by FRM candidates (and people who are considering whether to sit for the FRM exam) is, where can I find an...

Read More

Week in Financial Education (June 28, 2021)

Welcome to the latest WIFE. For Part 1, we wrote a new set of insurance company practice questions (PQs). I was recently asked how much...

Read More

A Note about Delta-Gamma Value at Risk (VaR) as Taylor Series

Alberto asked a good question here about using the delta-gamma formula to estimate the VaR of an option position. Lu Shu (lushukai) gave an excellent reply...

Read More