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TOP 5 LINKEDIN PROFILE OPTIMIZATION HACKS FOR ASPIRING BANKERS

According to Firmex, finance professionals cannot afford to be not on LinkedIn. A significant number of organizations acquire talent in the financial industry through LinkedIn.

Especially for aspiring professionals, your internet presence matters a lot as recruiters are most likely to search your name on the internet before making a decision about your application.

As an aspiring banker on a professional platform, you should consider changing the outlook of your profile, to garner the recruiter’s attention. Your profile is unlikely to get noticed if it is out-of-date and inaccurate.

Here’s how you can optimize your LinkedIn profile:

 

Headline

Here’s an example of a good headline for a banker:

“Aspiring Banker majored in finance specializing in forecasting and risk management best practices”.

Scrolling through most professional profiles for bankers on LinkedIn, these individuals pay little attention to the headline.

A well-optimized headline gives the recruiters reasons to click on a profile. Though you just have 120 characters to make it great and charm the recruiter.

You can include pointers on what you are trying to achieve as a banker, or include your major as a way of connecting the skills-gap. If you are an MBA degree holder, then you can reflect this on your headline along with the major.

Though here are a few things you should know about creating a headline:

  • Be professional and avoid writing words like “superstar worker”, “top performer”, etc.
  • Be discreet with your job search, don’t directly mention “looking for a job”, “unemployed”, etc.
  • Research on other professional’s headlines with a network presence.
  • Include the usage of strong adjectives/action verbs.

 

Connections

On LinkedIn, develop meaningful connections with professionals and recruiters. With little effort, you can significantly increase your number of connections.

However, having 5000+ connections is not valuable if they are irrelevant to your interests. Hence, keep your connections limited to professionals in the finance industry.

  • Connect with individuals that are relevant in the finance industry and send a personalized message along with the connection request.
  • You are most likely to get ignored if you mindlessly send out requests. Though LinkedIn advocates being active, you should derive an invitation strategy for effective network expansion.
  • Message recruiters that are hiring professionals in the finance industry and ask them for advice on how you can further optimize your profile.

 

Professional Experience

Your LinkedIn profile works as a digital resume. It should give an idea of a constructive career progression. Hence, LinkedIn profile optimization becomes quite important.

  • Write points in a bullet form, don’t include long paragraphs.
  • Mentioning your roles and responsibilities isn’t ideal. Construct the points in a way that showcase all your accomplishments & contributions.
  • Add your projects separately; do not add them in the career highlights section.

 

Keywords

As with any other search engine, recruiters are dependent on the algorithm to show them the best profile as per their searches. Based on a certain set of relevant keywords in your industry, recruiters will try to search for candidates on LinkedIn.

Here’s how you can use keywords to optimize your profile:

  • Research: Thoroughly research the keywords that are of prime importance in the finance industry. Check the profiles of other professionals on LinkedIn and refer job postings to gain an understanding of how to sprinkle these keywords in your profile.
  • Section: Utilize each section efficiently of your LinkedIn profile to showcase your contributions and achievements. Don’t just stuff your profile with contextual keywords. In the end, your profile should foremost be easily readable.
  • Industry and Skills: Update the industry in your profile and include all the skills you are familiar with. Further, you can even include skills that you are not familiar with. Let’s say you need to include “Budget Forecasting” in your profile and you have not had any real-life experience with it. You may write it as “Interested in gaining experience in budget forecasting”.

 

Skills & Recommendations

Recruiters look for professionals who can deliver, hence your profile should include the skills that are highly relevant to your targeted profile. Though in the banking industry recruiters search for general skills as well. So, make sure your profile is a match for both.

Further, just listing your expertise is not going to be enough. Get your mentors, employers, etc. to write you a stellar recommendation. If you provide credibility for your skills then it can do wonders for you.

 

Final Word

  • Just as the headline of your profile, your picture is equally important. Make sure you use a professional-looking photograph.
  • Continue to engage with your connections through comments and professional messaging.

As you are a banking professional, your profile is probably going to end up looking like all about your core competencies, However, it is important to include a few pointers about your hobbies that describe your personality as well.

 

Business

WHY AUTOMATING CAN FUTURE PROOF YOUR BUSINESS

By Ryan Demaray, Managing Director SMB EMEA at SAP Concur

 

Every business has administration duties that can be considered mundane and time consuming  but are a necessary core function of operations. Whether it’s paying suppliers on time or processing expense requests, tasks such as these are necessary for the day-to-day running of a business – however it’s safe to say that these tasks are never ranked as the most engaging or rewarding by your employees.

With a UK recession on the horizon, finance teams are under pressure to not only control costs but provide guidance to the business on where savings can be made. This will only happen if your employees are able to focus on tasks that not just keep a business running but allow them to add further strategic value.

Automating the invoice function is just one step towards giving your finance team back valuable time, not only creating a more efficient and productive workplace, but a positive employee experience that supports growth and stability across your business.

 

The gateway to better efficiency 

From receiving the invoice, inputting data, chasing approvals and moving it down the chain of command, research shows that it can take an average of 17 business days to manually process an invoice. For SMBs with a finance team of approx. eight people, implementing an invoice management solution can save on average 69 hours per week.

By allowing the technology to do the heavy lifting, your finance team can use the time to focus on more strategic elements of the business. This includes providing them a moment to take a step back and holistically look at the spending trends and costs across your business. By doing so, they can often pinpoint spend patterns, but also identify cost reducing opportunities, providing visibility and guidance to help positively impact the bottom line in the short and long-term.

 

Enabling growth and accuracy

As your business grows the number of vendors and suppliers you use often increases in parallel. This growth in external stakeholders can cause challenges and maintaining consistent and timely payment of invoices to suppliers is crucial. The Federation of Small Business estimates that late payments contribute to 50,000 insolvencies annually, costing the UK economy £2.5bn. The UK government recognised this and in 2019 implemented a prompt payment initiative, aimed at helping small suppliers get paid on time by enterprises, with the potentially penalty of not awarding government tenders to those who do not adhere to the prompt payment practice.

In addition to this, inhibiting the lack of cashflow to small business through late or unpaid invoices can have more than just a monetary impact. With poor invoice payment practices, your business reputation is likely to suffer damage, which in turn carries consequences across with future suppliers, as well as customers.

Through invoice automation, you are able to streamline your finance and accounting processing by making sure that payments are processed in time, resulting in avoidance of payment delays, calls from suppliers querying about invoice payment timescales and vital staff time responding to these.

 

Supporting employee engagement

Employees’ experiences affect their work outcomes and carry the benefits of high engagement, increased productivity, and a lower staff turnover. Creating a better employee experience is a challenge faced by many SMBs, but once cracked can provide benefits across your business.

More than just providing a workplace environment and culture, businesses with motivated employees can find recruitment and onboarding costs reducing, with retention rates increasing.

But it’s not only the employee that benefits from a better experience – your customers do as well. With many often on the frontline of customer interaction, it’s difficult to keep customers happy if your staff member is disengaged. By employing tools that allow the automation of mundane and repetitive tasks, employees can focus on aspects of work which they care about most.

 

Future proofing for tomorrow

Digital transformation is here and for SMBs employing an automated invoice solution, is a positive step in becoming a business that is ready for scale and growth. Not only will it help benefit your bottom line, it will create positive staff experiences and efficiencies, that help truly optimise your business – now and in the future.

 

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Business

COULD GRAPH TECHNOLOGY BE A POWERFUL WEAPON AGAINST CORONAVIRUS FRAUD?

Crisis funds and loans put in place to help support businesses during the health emergency have become a prime target for cybercriminals. Neo4j’s Amy Hodler examines how graph technology could be a powerful weapon against these scams

 

Fraudsters will use any opportunity to siphon off funds illicitly, and the pandemic is proving no exception. With coronavirus moving rapidly across the world and locking down countries in its wake, cybercriminals have been quick to launch sophisticated methods to callously exploit the situation.

Cybercriminals have been fast to impersonate trusted organisations such as the World Health Organisation, which has itself seen a five-fold increase in cyberattacks since the start of the crisis.

The pandemic is opening the doors for fraudsters who are taking advantage of changes in normal business processes, controls and working conditions to carry out fraudulent activities. Security controls, for example, are often not as strong as normal due to the speed aid is required and the fact that many people are teleworking.

Amy Hodler

Cybercriminals are using fake or stolen identities to draw down governmental emergency funds. In France, for example, the Paris Prosecutor’s Office has launched an investigation into massive fraud of the country’s temporary unemployment scheme where fraudsters have drained €1.7 million. It is investigating potential international links to the fraud.

In a statement Paris Prosecutor Remy Heitz said that more than 1,740 fraudulent operations were discovered across the country on behalf of 1,069 different businesses asking for wire transfers to over 170 different bank accounts.

 

Can financial services’ practices help?

Aid departments and organisations should look to the mature practices of the financial services industry for a lead in combating fraud. Here firms repeatedly and meticulously check and compare transactional data to look for suspicious behaviour that may indicate an attack.

Like applications for financial aid for the impact of the coronavirus, malevolent actors look to defraud financial institutions using false identities when creating accounts and putting together loan applications. Personal data such as addresses, telephone numbers and emails are cleverly assembled to model assumed and phony identities.

 

A need for a different approach

One of the main reasons traditional approaches fall short is that most fraud detection systems are based on a relational database model where data is stored in predefined tables and columns. With large, unstructured data sets, relational databases swiftly reach their limits; queries turn out to be far too complex and response times lag. Banks and government authorities need the ability to follow a trail from one account to another, viewing a fraud network as a whole complete entity to work out how activities are linked.

Unlike relational databases, graph database technology not only represents individual items of data such as person, account number, home address, but also their relationships with one another such as how they are related. Any number of qualitative or quantitative properties can be assigned, showing complex relationships in an easy to understand way.

One of the best graph algorithms for fighting coronavirus cybercriminals is ‘PageRank’, which finds important nodes (objects) based on their relationships and interprets them using visualisation tools. For fraud detection in banking, the algorithm identifies important or influential customers who are featured in a large number of financial transactions. Nodes with a high PageRank Score can be illustrated using a visualisation tool so that they appear larger in the view and can be immediately picked up.

Another key algorithm is ‘Weakly Connected Components’, which works to reveal the hidden networks that form a fraud ring based on common identity features such as multiple applicants all residing at the same address. These hidden connections provide invaluable information when hunting down fraud.

 

Uncovering fraud rings with incredible accuracy

 Cybercriminals are continually developing attack methods, sharing infrastructures to maximise their opportunities for success. Graph technology has the capacity to help stop advanced fraud scenarios in real time.

Graph databases can help future proof an organisation’s fraud prevention initiatives by enhancing insight based on data relationships and building connected intelligence.

 

The author is Director, Analytics and AI Program at Neo4j, the world’s leading graph database company, and co-author of Graph Algorithms: Practical Examples in Apache Spark & Neo4j, published by O’Reilly Media

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