Salary Finance

John R. Wells; Benjamin  Weinstock

Case | HBS Case Collection | July 2019

Salary Finance

by John R. Wells and Benjamin Weinstock

Abstract

In April 2019, Asesh Sarkar, co-founder and chief executive of Salary Finance Limited, a London-based FinTech, faced tough choices. Sarkar had founded Salary Finance with Dan Cobley and Daniel Shakhani in 2015. The company’s value proposition was quite simple: partner with employers to offer employees affordable loans that were repaid through automatic payroll deductions. Taking repayments directly from salary, and collecting those repayments in one transaction from the employer, dramatically reduced costs, saving employees large amounts of interest when compared to market alternatives like credit cards or payday lenders. For improving access to affordable credit, Salary Finance garnered considerable praise in the media, being named one of the UK’s most socially responsible and innovative FinTech companies.
Since the beginning of 2018, Salary Finance had introduced a savings product and an earned income advance product that were linked to employee salary. In September 2018, they expanded to the United States, in partnership with the United Way, opening an office in Boston, Massachusetts.
Sarkar was excited by the progress but was still pondering how best to accelerate further growth and improve the business. First there was the question of geographic expansion. Did it make sense to pursue other markets like India? Or, should he focus on building Salary Finance’s position in the UK and US? In these markets, should he prioritize attracting new employers to the platform or adding new products such as mortgages or investments? Should he register as a bank, tapping into low cost deposits and reducing the dependence on commercial borrowing to fund loans? Finally, he was concerned about how to best maintain Salary Finance’s culture – “For People Not Numbers” – during rapid growth. These questions and more weighed heavily on Sarkar’s mind as he considered the company’s future.

Keywords: Credit; Financing and Loans; Wages; Innovation and Invention; Expansion; Growth and Development Strategy; Organizational Culture; Decision Choices and Conditions; Financial Services Industry;

Language: English

Format: Print

14 pages

Educators

Citation:

Wells, John R., and Benjamin Weinstock. "Salary Finance." Harvard Business School Case 720-355, July 2019.

In 2013, CEO Frida Polli was contemplating the next steps for her start-up business, pymetrics. After receiving her PhD in neuropsychology and MBA from HBS, she was determined to put her scientific and academic knowledge to work to build a business solving real world problems. To this end, her team at pymetrics had adapted a set of robust neuroscience-based computer exercises designed to measure a number of elements of brain functionality and apply these exercises to the world of talent assessment. In just about 25 minutes, these tests compiled a powerful cognitive, social, and emotional profile of the individual that could match the output of experienced interviewers or much longer psychometric testing programs. And the added benefit was that these tests, unlike interviews, discussion panels, or self-reported questionnaires, were hard to “game” because the underlying brain function and rate of learning showed through. Frida believed that her exercise suite would be invaluable to recruiters and had demonstrated to a hedge fund and a major consulting firm that it was much more cost effective than their traditional approaches and could be used to broaden their search for the best talent. As she got out of the cab at LaGuardia to catch the plane for Boston, she wondered what the Harvard Business School class she was about to address would think of her ideas and how they might suggest she implement them.

In March 2013, pymetrics CEO Frida Polli visited Harvard Business School to listen to a section of MBA students from the class of 2013 to discuss her business plan and provide feedback on the tests they had taken to identify career opportunities. Polli had developed a series of neuroscience-based tests to measure brain function and map this to the profiles of successful executives. She believed that these could collect much more data than conventional psychographic tests in much less time, and it would be much more difficult for the candidate to “game” the system. Polli’s goal was to help companies recruit more effectively. In preparation for the class, the MBA students had all taken the tests. She looked forward to discussing the results.

Supplement | HBS Case Collection | September 2019

pymetrics (C)

John R. Wells, Benjamin Weinstock, John R. Wells and Benjamin Weinstock

In August 2018, pymetrics, a solution offering neuroscience-based recruiting tests, closed a $40 million funding round that valued the business at $160 million. Over 60 companies around the globe were using pymetrics tests in their recruiting process, including Unilever, Hyatt, and Accenture. Clients were seeing real impact, including time and cost reductions – 75% reduction in time-to-hire and 25% reduction in recruiting costs, as well as significant increases in diversity (in some cases over 100%) –and new-hire performance through metrics like retention. In addition, 1 million job candidates around the world had played pymetrics games to obtain career guidance. pymetrics tools offered significant advantages over traditional personality tests such as Myers Briggs because they measured brain function rather than responses to self-administered questionnaires. They also collected a lot more data very quickly and measured critical brain functions associated with effective executives, ranging from analytical capacity and risk aversion to attentiveness, resolve, ability to interpret emotions, speed of learning, and capacity for trust. In early 2019, the company was expanding rapidly. It employed nearly 100 people and operated out of 4 offices around the world. CEO Frida Polli was contemplating next steps. What should the priorities be? Was it more important to add more clients or develop more services to build current clients? How many global offices should the company operate, and how should these be organized? And could the company make more of its bias-free recruiting processes in a world where regulation against discrimination was becoming increasingly important?

Keywords: BrainTech; psychodynamics; psychology; Hiring of employees; hiring; strategy; strategic evolution; strategy and execution; Startup; start-up; Startups; start-ups; entrepreneur; employment; bias; rapid growth stage;

Citation:

Wells, John R., and Benjamin Weinstock. "pymetrics (C)." Harvard Business School Supplement 720-376, September 2019. View Details

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