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Why Diversity is Essential in Startup Teams

Diversity at Kalgera

The positivity surrounding this inclusion contributes significantly to team morale when we are working tirelessly to create a solution that will be valued by all its users. Perhaps more importantly, Kalgera is able to extend its inclusivity ethos to its users, where the team and product seek to understand and act on all its user concerns regardless of any differences.

There is a wealth of research highlighting the correlation between high diversity and greater innovation, and Kalgera has created a culture that celebrates and embraces diversity. 

For example, did you know that companies that are diverse are 35% more likely to gain higher financial returns (McKinsey, 2015)? The Kalgera team is very diverse, so we’re already starting out with greater odds of our people and product succeeding and thriving.

diversity - image of diverse faces


There are a variety of dimensions associated with diversity, including traits such as age, gender, philosophical perspective, values, ethnicity and economic status.

When we talk about managing diversity, we are referring to embracing a mosaic of people who bring a variety of perspectives, styles, values, backgrounds, and beliefs to the team and its vision, with each of these contributions carrying equal value.

When executed cohesively and positively, managing diversity is the art of thinking independently together. This approach can only enhance the progress towards a united vision.


Diversity implies a seamless inclusion in a team that respects and accepts each individual despite their differences. Working in a diverse team opens a space to reflect and encourage members to be more aware and understanding of others background, perspectives and values.

It provides each person with an opportunity to wonder more about the world, as well as different people and cultures while allowing the team to identify and work to fill in gaps in personal knowledge, culture and experiences.

An individual’s outlook towards life grows and those working in diverse teams tend to develop a sense of responsibility to create something meaningful.


  1. Strength lies in differences and not similarities and diversity is now an accepted norm of socially responsibility.
  2. It ensures the dynamic of the business more accurately reflects the outside world, facilitating the creation of solutions that are viable.
  3. Diversity also ensures the technologies businesses create are developed to meet everyone’s needs and does not exclude vulnerable or minority groups in our society.
  4. Multiple perspectives contributed to a project encourage varied and creative thinking during team and stakeholder discussions.
  5. As there are a variety of options, the solutions are assessed more critically and members are empowered to be more thorough and creative in their arguments, leading to the creation of more innovative solutions.
  6. The variety and consequent discussions lead to a better decision-making process as all suggestions are assessed with more but equal scrutiny. Ultimately, diversity contributes significantly to the creation of a better quality product that considers the needs of the wide range of its different users.

Financial Inclusion: Can we all be a part of a FinTech Future?

Considering we are currently living in a world in which people are living for longer than ever before, technologists have a duty to adapt fintech to suit the needs of older adults and contribute significantly to overall financial inclusion.

According to the Financial Lives Survey carried out by the UK Financial Conduct Authority (FCA) in 2017, online is rapidly becoming the dominant channel for basic financial activities. Nevertheless, the proportion of online banking activity and usage of contactless payments sharply decreases as people get older.

For example, 75% of adults have checked their balance online in the last 12 months, but this number drops to just 25% for those aged 85+. Although the strong association between technology and younger adults is part of the reason for the decline, fintech might also not be addressing issues that older people are facing.

Financial Inclusion - Senior woman working at cafe using her laptop and talking on mobile phone
Does FinTech address the issues faced by older people?

 Similar to younger populations, older ones are equally diverse and have individual needs, which fintech companies can consider and cater to. Sue Lewis, an author of the FCAs Financial Services Consumer Panel report, states that it is:

“…imperative that the industry explains products simply, and takes account of the particular needs of older consumers, which might include, for example, using larger font sizes, or more interactive contact through face-to-face meetings or online video chats, like Skype”


“…imperative that the industry explains products simply, and takes account of the particular needs of older consumers, which might include, for example, using larger font sizes, or more interactive contact through face-to-face meetings or online video chats, like Skype”.

The report also describes how there are already innovations in place helping customers, such as the introduction of biometrics (finger print recognition), so customers no longer need to remember ‘memorable words’.

Another helpful approach involves using video or graphical content, which makes information clear and easy to understand. This approach is currently being taken in the USA, where OceanFirst bank placed video teller machines in pension homes allowing residents to speak to someone from their bank at the press of a button. Bank cards are not needed for these machines and they are able to do almost everything you can do at a normal bank branch.

Another idea from Tom Kamber, who is director of Older Adults Technology Services, is the project ‘Ready, Set, Bank’ with Capital One. This project aims to make online banking easier by creating short online video courses.

In the UK, Kalgera has a social aim of safeguarding the financial wellness of vulnerable people. Half of UK adults show signs of financial vulnerability and personally lost £1.2 billion to fraud and scams in 2018 alone with 5 million older people being targeted each year by fraudsters.

Kalgera uses machine learning to analyse financial transactions to detect subtle signs of vulnerability and the risk of falling victim to scams. Kalgera also helps by securely facilitating shared view-only access to financial transactions with trusted family and friends so they too can be alerted without compromising their bank details and without the ability to move money. This means that an older person can quickly get advice from someone they already know and trust if something doesn’t seem right without giving up control of their finances.

The perspective that older people do not want to learn about or use technology is incorrect and potentially leads to digital and financial exclusion, especially given technology can support independent living if it is adapted appropriately. Kalgera demonstrates that being tech savvy has no expiry date, and entreat quite the opposite as the company’s name means ‘good old age’ in Ancient Greek. Ultimately, there is everything to be gained in providing better safeguards to protect the finances of those most vulnerable people as we all benefit in the end.

How data portability can improve our lives

Two and a half quintillion bytes or 2,500,000,000,000,000,000 bytes of data are generated every single day. The majority of all data in existence was generated within the past few years and is created collectively by individuals, governments and businesses. Data is knowledge but is meaningless until it is processed and interpreted in context at which point it becomes information on which a judgement or decision can be taken. Data is now considered a key ingredient for current business revenue models, a yardstick by which service success is measured. Entities that do not use data effectively and appropriately increasingly risk becoming extinct.

Large library used as an visual representation of data
Data is knowledge but is meaningless until it is processed and interpreted in context at which point it becomes information on which a judgement or decision can be taken.

The protection of personal data, consumers and competition in markets is increasingly important for policy makers and competition authorities. Open Banking regulation from the UK Competition and Markets Authority (CMA) and General Data Protection Regulation (GDPR) by the European Union are prime examples of this shift in importance. 

The right to data portability was introduced in the GDPR and enacted in the Data Protection Act 2018. This gives individuals the right to not only obtain a copy of their personal data but also to instruct organisations to transfer these data to third parties. These data must be machine readable and in a common format which renders them useful. This appears to be fairly innocuous, however, represents a radical step in delivering greater autonomy to consumers. This also raises several important questions related to data harmonisation, market effects, organisational processes, and crucially consumer benefit. This article is the first in a series that will examine these issues and the potential impact on business and consumers.

Financial services presents a compelling use case for data given the fundamental nature of banking and finance on our daily lives. The use of artificial intelligence (AI) has the potential to transform the processes, products and services of the industry. For example, AI can analyse millions of data points to detect fraudulent transactions that tend to go unnoticed by humans while simultaneously actively learning and calibrating to new potential threats. Simple risk factor checklists are no longer enough given the fact that global fraud losses were £3.2 trillion in 2018. 

Open Banking is a great opportunity for financial institutions to leverage the masses and masses of consumer data held to generate greater value and new potential revenue streams. However, this is no mean feat given the fact that these data exist in a multitude of formats on difficult to maintain legacy systems installed decades ago and written in code developed in the 1950s or worse, on paper. Unstructured (i.e. not pre-processed) or inconsistently structured streams of financial data poses a risk to the quality of the resultant algorithms. This risk can be compounded by the loss of corporate memory as coders familiar with legacy systems retire. Data harmonisation with the aim of making the structure of all financial data easily analysable by machines will be essential to the removal of current bottlenecks. Cooperation between stakeholders and market actors will be required to achieve this and a diverse workforce with a variety of skills will be required. 

Mobile screen showing someone using an app

The digitalisation of consumer banking has long been an uphill battle given the legacy of deregulation where the risk taking of securities trading lived in parallel with the culture of caution and conservatism of banking. The consumer trust lost as a result of the financial crisis a decade ago will require more than marketing savvy but a serious revision of the social contract between banks and consumers. 

Kalgera was developed to serve people typically overlooked and this presents a unique challenge. These groups can be difficult to reach, have variable personal circumstances and hold little trust in financial institutions. Multiple human factors were considered in the design process as well as differences in personal relationships with money. For example, older people tend to see money as something to share which enriches the lives of those around them rather than a means of achieving individualistic goals. Using data to better understand the true challenges of the consumer and go on to predict when and how they will require service to meet their challenges unlocks value to the individual and markets. Shifting to truly mission driven data powered services deployed in an ethical way can improve financial services and build social capital.

Further reading

Analytics Comes of Age, McKinsey Analytics, 2018.

The Financial Cost of Fraud 2018, Crowe, 2018.

Artificial Intelligence in Finance, Buchanan, Bonnie, 2019.

Mind your Mental Health

It has been an extremely challenging few weeks and many of us have struggled with the health and economic fallout of the lockdown and social distancing. The world has been irrevocably changed and we too must change with it by being more resilient.

Watch Dr Dexter Penn share a moving story from his family experience of mental health problems.

Some of us have taken to exercising with Joe Wicks every morning, some of us have taken refuge in the kitchen, the garden or have thrown ourselves into long overdue DIY projects. Unfortunately, some of us are not coping and we all need to be vigilant of the signs of distress in our friends and family.

This is particularly important for the Black community as Black people are more likely to develop a mental health condition like psychosis but Black people in Britain are least likely to access treatment.

If you are finding it particularly difficult please talk, we are here to listen.

Learn more

Lubian, K., Weich, S., Stansfeld, S., Bebbington, P., Brugha, T., Spiers, N. … & Cooper, C. (2016). Chapter 3: Mental health treatment and services. In S. McManus, P. Bebbington, R. Jenkins, & T. Brugha (Eds.), Mental health and wellbeing in England: Adult Psychiatric Morbidity Survey 2014. Leeds: NHS Digital.

The Mental Health Foundation (2020). Black, Asian and Minority Ethnic (BAME) communities. Available: Online

Qassem, T., Bebbington, P., Spiers, N., McManus, S., Jenkins, R., & Dean, S. (2015). Prevalence of psychosis in black ethnic minorities in Britain: Analysis based on three national surveys. Social Psychiatry and Psychiatric Epidemiology, 50(7), 1057–1064.