With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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Jenni started her career in recruitment as part of Harnham’s 2014 graduate scheme joining the Marketing & Insight Analytics team. After 2 years in the UK, she moved to the New York office where she has helped grow the team as a Managing Consultant. She is now an active member of the analytics field in the US and on a Board of Advisors for a MSc Analytics program at a local University, aiming to enhance the development and growth of the Statistical Analytics practice on the East Coast.
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2020. It sounds like the name of a futuristic science-fiction movie or TV show, doesn’t it? Maybe it is. And like our favorite sci-fi flicks there are cutting edge changes happening in real time. We’re the characters in this story and the Computer Vision and Artificial Intelligence partnerships in healthcare are moving fast to help us take care of ourselves. When computers can see what we can’t. When AI can help us make more informed decisions. When the two are combined to help doctors and providers work more efficiently to save lives, that’s when the cutting-edge shines. From the collaboration of Johns Hopkins, the CDC, and the WHO mapping out the data to contact traces to medical professionals on the front lines, we’ve been focused on one thing. Saving lives. But, what about the other medical issues that affect us? Heart disease. Cancer. Neurological illnesses. What if the latest advances in healthcare could help here, too? Five Ways Computer Vision Helps Healthcare Providers Identifies leading causes of medical illnesses in a time-sensitive manner by creating algorithms for image processing, classification, segmentation, and object detection.Develops deep learning models to create neural networks.Collaboration of teams of scientists working together for the advancement of projects and present findings to business leaders, stakeholders, and clients.Allows providers to spend more time with their patients.Optimization of medical diagnoses using deep learning so doctors can spend more time with patients to help see and solve the problem faster. Computer Vision Engineer Meets AI Professional Artificial Intelligence (AI) offers real world answers in healthcare the world needs today. Computer Vision Engineers build the means to which AI helps providers, patients, and leaders make informed decisions. Core requirements for both roles include, but aren’t limited to: Experience in machine learning and deep learning.How to build computer vision algorithms and probability models.Problem-solving skills, creativity, ingenuity, and innovation.Languages like Python, R, Hadoop, Java, and Spark.Be able to see the big picture while at the same time finding the devil in the details. Always striving to improve, to make better, to advance the technology within the industry. The Challenges and the Potential of Technology in Healthcare At the moment, Computer Vision, AI, and other healthcare technology models are localized to individual placements. The next step is to have these technologies ‘speak’ to each other across hospitals, provider’s offices, telehealth applications, and electronic health records management for a more cohesive benefit of care. As this year rounds to a close, we know the vulnerabilities of our healthcare system, and can find solace in the though that technology is bringing it forward at lightning speed. Automation and telehealth appointments have made it a breeze to talk to our doctors and get results faster. We can pay our bills with the click of a button and even carve out a payment plan, if need be. All without leaving our homes. The data now available to us and our providers offers a foundation, a benchmark of information, so our doctors can make more informed decisions. This data goes beyond the individual, it helps set a precedent for not only individuals, but also entire populations, to help us identify future health issues, epidemics, and pandemics. Stored data is private and stays within its construct of hospital or doctor’s office, but from it we can create models to plan for the future. Want to make your make your mark in the healthcare and tech industry? We may have just the role for you. Check out our current vacancies or get in touch with one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
15. October 2020
According to our 2020 US Data & Analytics Salary Guide, there has been a recent uptick in leadership roles within the Data & Analytics industry. Stemming from the skillset which is equally balanced between technical and communicative abilities, this field is fast approaching a 50/50 gender split. These are the leadership roles for which businesses are seeking employees who can translate business objectives into actionable insights, and yet, too often businesses think this is the role of the Data Scientist. As Data Science, Machine Learning, and other terms in the Data industry change to encompass new roles, it is imperative businesses understand what skillset they need to fill which role. So, here’s a quick comparison to help navigate which role has the best skillset for your needs. TRADITIONAL DUTIES OF A DATA SCIENTIST Understand one or more coding languages such as R, Hadoop, SQL, Apache Spark, etc.Able to collect, gather, and analyze Data from past and current applications for business recommendations.Craft statistical models for planning and implementing strategies. While it’s true these three duties are similar to an Advanced Analytics Skillset, the advanced skillset takes things a bit further. TRADITIONAL DUTIES OF A CHIEF DATA OR ANALYTICS OFFICER As this role leans a bit more toward the Advanced Analytics skillset, let’s take a look at where it jumps off from the traditional Data Scientist role. Create a Data Strategy and communicate the vision of that strategy.Create Data access policies and strategize with business executives. Oversee a variety of functions including Data Management, Data Governance. Whether the title is Chief Data Officer or Chief Analytics Officer, these are the high-level roles which might report to the CEO or COO rather than the CIO. The Chief Data Officer falls within the senior executive team and is responsible for not only the Data Strategy and its governance, but explaining its benefits in clear language to the other executives. WHEN BUSINESS & CANDIDATE EXPECTATIONS ALIGN Though Advanced Analytics teams have remained strong during the pandemic, and the field is ever-changing as businesses understand which skillset they need for what job, there has been some turnover in the past. So, why the turnover if it’s an expanding field? The answer is two-fold in that oftentimes, the candidate and business expectations aren’t aligned. And to that end, it often stems from businesses believing once they’ve hired someone their problems are solved. However, when the right person with the right skillset is in the right place. And when businesses understand that person can help them solve the problem once there is a strategy and processes in place, then the two are more efficiently aligned. WHERE TO LOOK FOR ADVANCED ANALYTICS & INSIGHT ROLES If you’re a candidate and have five years or more experience in the Analytics industry, there is a huge growth in demand from EdTech and TeleHealth enterprises. As businesses have gone online and virtual, it’s important to have someone in place who can navigate the changing nature of education and medicine within the Data & Analytics field. One of the key ingredients businesses hunger for are candidates who can blend statistical analysis with the communication skills. For businesses, candidates want to grow with the business and have the opportunity to make an impact. In our recently released 2020 Salary Guide we discuss each specialism; what’s working, what isn’t, and how businesses can hire and retain top talent to keep their projects on track and their businesses running smoothly. If you’re interested in Data and Technology, Risk or Digital Analytics, Life Science Analytics, Marketing and Insight, Data Science, or Computer Vision, we invite you to check out our current vacancies. If you’d like to learn more, contact one of our expert consultant. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
30. July 2020
Remote working. Flexible hours. Four day weeks. Universal Basic Income. The past few years have seen no shortage of suggestions when it comes to what the future of the working world will look like. But with many major nations currently working from home by necessity, it’s a time to reflect and reset for both businesses and prospective employees. It’s also a time to assess, plan, and prepare for what happens after. What could the world of work and its culture shift look like in the not too distant future? If nothing else, the pandemic and subsequent response has opened our eyes to where things are broken. These will be the areas looking to hire, both now and in the future, and the key to these hires is to know which of your transferable skills most closely align with the need. But it won’t only be industries that change. They way we’re working with and speaking to each other has already changed dramatically, perhaps even irreversibly. Culture as Silver Lining From closed door offices to cubicles. From open offices to co-working spaces. Our settings help dictate our culture. Why? Because culture is the model by which we get the job done. So, far from the empty “how are yous” and polite handshakes, the climate we find ourselves in now offers a glimpse into a world of real connection. People practice social distancing, but come together via FaceTime and Zoom. People are reaching out to chat about things other than business and showing a little of ourselves and the lives we lead. There is no more separation of work and life during business hours. And that’s okay. What have we been missing? We’re no longer numbers and signature blocks on a screen. People want to see each other, to have a real connection. Video meetings are par for the course as we seek to interact as close to our interactions in the office hallway. Except this time, we’re adding in the personal element and the “how are you?”/”I’m fine” remix is on pause or stopped for more meaningful conversation. Now, when we ask, we genuinely want to know and rather than gloss over the question, we’re opening up and telling each other what’s going on in our lives. Finding Community Amidst Social Distancing Businesses and individuals are getting creative to help keep some sense of normalcy. Though we’re far from business as usual, there are opportunities all around to create virtual communities and conduct celebrations. Imagine virtual happy hours 0at the end of the week. Pizza parties over FaceTime. Trivia nights with clients. Social distancing has brought us closer together. Who knew? It’s that effort at normalcy during these unsettling times which are another way toward the future of the way we work. Our desire to be together, work together, interact, innovate, and create. We are fixing what’s been broken – our systems, our processes – and finding the silver lining in the culture shift of the future of work. As business processes shift online, looking for your next job can be more daunting than ever before. But here’s the good news. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running. In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path. If you’re interested in Big Data & Analytics or other Data professional opportunities, check out our current vacancies or contact one of our recruitment consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
16. April 2020
Facial Recognition software. Autonomous vehicles. Drone delivery. Robotics in manufacturing. 3D Printing. No longer the stuff of science fiction, these advancements are at the heart of the next evolution in the digital age. Developments are not just being made in the tech hubs of Silicon Valley, Austin, or New York, but in the mid-West. Ann Arbor, Michigan home to the University of Michigan and not too far from where Henry Ford first introduced mass production with the help of automation has been advancing robotic technologies across a variety of fields. Giving machines their own set of eyes does require someone to ensure they have the right information to do their jobs. Enter the Computer Vision Engineer. It’s estimated this field will see a rise of 19% demand through 2026. It’s also a relatively small field with only 5,400 new job openings. So, like many professions, demand is high yet a shortage remains of those Data professionals with the right skillsets. The Business of a Computer Vision Engineer While there are a variety of roles within the field of Computer Vision, the role of Computer Vision engineer focuses on two areas. Those areas are: Writing code in Python/C++ Integrate Data Visualization, image analysis, and imaging simulation controls In addition to these areas, these scientists focus on research, implementation, reaching across teams both human and machine to help solve real world problems. And as important as knowledge and application theory are, it’s the hands-on experience which raises the bar for most employers and client companies. Using image recognition, machine learning, and segmentation can help machines learn to differentiate various images. Being able to “see” what the computer may see and correcting it to ensure it’s more like human vision takes a special skillset. This can include: Computer Vision librariesDatabase managementComponent or object-oriented softwareAnalytical, logical, and critical thinkingClear reasoning It’s these skillsets along with a background in mathematics and computer languages like C++ which pave the Computer Vision engineer career path. The Future of Computer Vision The days of the generalist are long behind us. Now, more than ever, technologies like machine vision require a dedicated focus. With every field from healthcare to law enforcement to manufacturing utilizing these technologies, the future of Computer Vision performs a broader range of functions. In Ann Arbor, at the University of Michigan and in partnership with Ford Motor Company, advancements race through every field not the least of which is manufacturing. As they transition toward full automation using the Internet of Things and more autonomous processes, it’s even more important to ensure Computer Vision models understand what they’re “seeing.” Computer Vision engineers will help to advance technologies which make machines easier to train and more easily figure out images better than they do now. Used in conjunction with other technologies like neural networks and other subsets of AI, machines will be able to see and interpret in the same way humans see and interpret. And as far as we’ve come, there remains more applications and benefits not yet explored. The possibilities are endless. Current and future advancements will pave the way for AI to be as human as we are bringing our once science fiction ideas to life. One Final Thought… Though Computer Vision engineering can be drilled down to even more focused professions, the term itself is broad. But the specializations are basic with a demand for not only highly skilled professionals with the right educational background, but also hands-on experience. This detail is more important now than ever before, especially for Computer Vision teams seeking leadership roles who can take their applications to the next level and on a global scale. Some of the basic specializaitons include, but are not limited to: Camera imaging geometryFeature detection and matchingImage classification and scene analysis In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path. If you’re ready to take the next step in your career, we may be able to help. Take a look at our current vacancies or get in touch with one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
19. March 2020
Earlier this month I had the pleasure of speaking at ODSC East, as the best future talent Data Science talent gathered together to discuss the direction of our industry. With Data Science becoming such a broad term that covers a number of functions, and with the rise of new areas such as Blockchain, AI and ML, I wanted to talk about what it actually means to be a Data Scientist now, and in the future. With this in mind, we conducted a survey over the course of the event where we asked what Data Science meant to the people there. Here’s what we found out: WHAT IS DATA SCIENTIST, ACTUALLY? Every company thinks they need one, and every analyst wants to be one, but more and more job titles that are not necessarily Data Science are now being billed as Data Scientists. In fact, when we asked people what they considered their job title to be, regardless of experience, Data Science came out on top: Data Scientist: 58% Data Analyst: 22% Machine Learning Engineer: 10% Business Intelligence Analyst: 9% However, from my experience, this is not necessarily accurate. I once worked with the Senior Manager of Data Science in a very well established Retailer. He’d been there for less than one year and was already on the job market. In his interview he had been told that the company were fully behind investing in a top-class Data Science department but had actually ended up managing a team of people who were building dashboards creating reports for all areas of the business. This is much less Data Science, and much more Business Intelligence. This confusion is quite typical within the industry and frequently needs to both unhappy employers and employees. MORE THAN JUST TOOLS One common mistake when it comes to misidentifying Data Scientists is a result of people focusing on the tools people use. Whilst both Data Scientists and Marketing & Insight specialists might be skilled up in Python, R and SQL, their methodologies are significantly different. When asked to define a true Data Scientist at the event, 73% of people agreed the definition is: “A person who uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.” Companies who panic about needing a Data Scientist to keep up with their competitors often ignore these crucial points and end up listing every tool on a job spec. Frequently those who claim they want a Data Scientist actually want an Insight Analyst who can understand how customers behave, what they respond well to, what they’re talking about on social media, and how this unstructured data can be used to help their business make better decisions. WHAT DOES THIS MEAN FOR ME? For someone wanting to work in the Data & Analytics field there is one key rule: Know Yourself. Think carefully about aspects within your Science, Operational Research, Statistics, and Analytics in general that you enjoy and how you can work them into your career. If you’re in college and just starting your career, don’t limit yourself by the sectors you think you have to work in; enjoy gaming? The gaming industry uses Data to make characters more lifelike, make sure they move in real-time and ensure that they play in a realistic way. Just as crucial, however, is having an understanding of what the analytical teams around you do. Consider what roles they play in your business and how you are all interlinked, whilst being aware of the unique differences between roles. And, outside of analytics, those who understand what impact their work has on a business will always stand out amongst a crowd. Essentially, don’t let yourself be limited by the title of Data Scientist. There are hundreds of roles within Data & Analytics so think about which one is right for you, rather than following the crowd. If you’re looking for your next opportunity in Data & Analytics, or are looking to build out a team, take a look at our latest roles or get in touch with one of our expert consultants: For our West Coast Team, call (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to email@example.com. Or, if you'd like to talk to me directly about anything I've talked about above, feel free to drop me a line at firstname.lastname@example.org.
30. May 2019
Just because pricing deals with numbers, it doesn’t mean it’s exclusive to the financial sector. In our last few posts, we focused heavily on the role of Pricing Analyst, what it is and how to get there. This type of analyst role is more often found in the marketing arm of many companies and might also be known as Behavior Analyst, Customer Analyst, or something similar. However, there is another type of analyst sometimes confused with Pricing Analyst which falls squarely within the Finance sector. These roles might boast titles such as Risk Analyst, Financial Analyst, or Actuary. Often, it isn’t the title that speaks to the particular strengths of one type of role over another; it is the responsibilities and skill sets documented within the job description. Like Pricing Analysts, these professionals deal with numbers and pricing. However, their focus is on models, such as those required for mergers and acquisitions or how to set health insurance premiums looking at risk. Looking for a Low to No-Risk Gig? Actuaries are in high demand. As a profession, it is one of the most diverse and tends to be more open to women and under-represented minorities. Though the focus is often on insurance and pension programs, Actuaries can find work in a number of industries including consulting firms, hospitals, banks, investment firms, and government. As advisors who manage risk portfolios while analyzing historic and current data, these professionals are business-minded people with a mathematical basis. Using mathematics, statistics, and financial theory, they analyze the financial consequences of risk. The Masonic-esque Levels of Becoming an Actuary For individuals who are numbers focused and are interested in using their data, technical, and mathematical skills coupled with business acumen; the role of Actuary might be the perfect fit. However, there are steps or levels which need to follow to enter the profession. These are exam-based and work-experience levels and your salary increase incrementally with each step. To begin, a graduate with a high GPA and one exam under their belt may find the role quite lucrative. Each exam leads to the next level and enters you into an Actuarial Society. Depending on where and what you want to practice will determine which society you’ll sit the exam: Society of Actuaries (SOA) – focus is life and health insurance, pensions, and employee benefits. Casualty Actuarial Society (CAS) – focus is automobile, fire, and liability insurance as well as worker’s compensation. American Society of Pension Actuaries (ASPA) – focus is those in the pension field, particularly in relation to federal and state governments. Each organization has its own exams and competition is fierce. Qualities sought beyond a high GPA and actuarial exam include: Good communication skills High technical ability A wide background from mathematics and statistics to the liberal arts Actuaries and analysts with an eye toward the financial and insurance sectors use their statistical skills to research, network, and connect the dots between discerned variables. The research begins with statistical modeling. Connect the Dots with Statistical Modeling In statistical forecasting models, the information gathered helps analysts make statements about real outcomes which haven’t yet come to pass. The model can then help identify what might influence these variables. An Actuary, Financial Analyst, or Risk Analyst may use a: Merger Model (M&A) – This model is most often used in investment banking and corporate development. Think mergers and acquisitions. After all, someone has to decide the value of each company, then the basis of that value once they’re merged. Complexity varies widely in this model. Budget Model – This model is used in financial planning and analysis and helps set the budget for the coming year and the years to come. Focused heavily on a company’s income, these budgets are designed on a monthly or quarterly basis. Forecasting Model – This model is used to build a forecast of the budget model. Think of it as a building block as companies structure their budget and strategies using one or a combination of these models listed. Sometimes, the forecasting and budget model are combined. Sometimes they’re kept separate. These are only three of the ten types of models used in financial planning and analysis for any number of firms and industries. But, it’s the people behind the numbers who help businesses navigate what is best for their client, customer, and bottom line. An Actuary is just one title those interested in the mathematical and statistical applications for business might find interesting. And like many of those in the Data Science field and higher tech applications, this role is in high demand. Are you the one companies are looking for? If you’re interested in finance, modeling, statistics, Big Data & Analytics, we may have a role for you. We specialize in junior and senior roles. Check out our current vacancies or contact one of our recruitment consultants to learn more. For our West Coast Team, call (415) 614-4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796-6070 or send an email to firstname.lastname@example.org.
07. February 2019
“Life moves pretty fast. If you don't stop and look around once in a while, you could miss it,” quipped Ferris Bueller in the 1986 classic film Ferris Bueller’s Day Off. Today, over thirty years later, fast barely scratches the surface. Companies such as Netflix, Uber, AirBnB, and Google have redefined markets, and strongly influence how we travel, explore, shop, and communicate. Using predictive modeling, behavioral analysis, and advanced analytics tools, these companies, and others like them can learn and disseminate insights into consumer behavior and respond as needed. Yes, life does move pretty fast in the digital age. Yet, as much as we’re connected online, we still need to connect in person from time to time. It’s this integration which is driving tomorrow’s marketing strategies and recruitment efforts. After all, what is job searching, but marketing yourself? And to that end, what is marketing, but expert presentation? As we round out the year and look to the next, let’s take a look at what 2019 has in store: Be Human With the rise of AI, machine learning, and automation, it can feel as though we’ve crossed a threshold into another world. But, we are still human and so want to interact as humans. People put their trust in brands they know and respect. Ultimately, they want and need helpful and relevant information that they can connect with. Be Helpful and Authentic Trolls disband. Consumers and candidates look to their peers, editorial sites, and reviews to make more informed decisions. Think Glassdoor and Yelp and add a personal touch. By building and maintaining relationships, whilst offering help whenever possible, brands can earn more consumer trust. If You’re Job Searching, Consider this: Virtual Reality (VR) and video submissions are starting to be used to assess candidate hard and soft skills. In the video, how you present yourself, act, and speak will weigh just as heavily as how well you perform tasks. Tell Your Story Every individual – candidate or consumer - is more than the paper they’re written on or the video in which they’re seen; there is a story behind who we are and how we got to this place. Hiring managers want to hear candidate’s stories. Both humans and ATS are able to sense personality through story. Marketers have been and will continue to tell stories about their products to build rapport and create an emotional connection to a brand. Both offer insights into the individual. Creativity, not Conformity is Key Find new ways to engage your audience. Consider integrated campaigns and get creative. What are your competitors doing? What could you do differently to stand out? Leverage Your Online Tools Today’s world is integrated and proactive. Use the internet and the tools it provides to leverage your brand such as your website, portfolios, and social media. The way to communicate with candidates and consumers may have changed, but the necessity to do so hasn’t. We want to hear from you. If you’re interested in data and analytics, we may have a role for you. Check out our current vacancies or contact one of our recruitment consultants to learn more. For our West Coast Team, call (415) 614 4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to firstname.lastname@example.org.
01. November 2018
Millennium Park. The Chicago Bean. Wrigley Field. Windy City. Second City. Chicago is known and named for many things, and soon it’s emergence as an international hub for innovation will join the ranks. Considered one of the best places in the country for tech jobs growth, the Midwest pragmatism of Chicago offers the best of both worlds –a small-town feel in a big city, and a culture of innovation. With numerous tech giants, such as Salesforce, Google and Orbitz, already in place, Chicago is now leading digital transformation of the healthcare industry. A city that prides itself on attracting no-nonsense leaders, and built around a culture of hard work, dedication, and a motivation for disruption, it is the natural location for the data-led problem solving required to revolutionize healthcare in the US. AI As A Partner In HealthCare The American health care system is an unwieldy tangle of structures and processes, but with the help of technologies such as Electronic Health Records (HER), digitized machines, and now AI, the focus is evolving to place a greater emphasis on the end user. Whether they be a doctor, clinician, or patient, the goal is the same – to provide better care; faster. However, because of AI’s use of machine learning and NLP, around eighty percent of health executives believe this technology is advancing faster than its adoption. As these abilities evolve, leaders need to ensure that patient data is secure, and they are transparent about how it is being used. More than a technological tool, AI is now a part of the healthcare workforce. Working as collaborator, trusted advisor, and coworker, it will soon have as much influence as the people putting it to use. It is opening virtual borders using algorithms to diagnose patient wounds via smartphone, allowing remote monitoring of elderly patients, and helping to digitally verify a patient’s insurance information – no more form duplication or being asked the same questions over and over again. Insights afforded by AI and the tech industry can help doctors and caretakers make more informed decisions that could mean the difference between life and death, whilst also blurring the lines between business and personal. This is where extended reality (XR) comes in. XR technologies provide a bridge to connect people, places, and information, uniting the physical and digital worlds. Enabling a consultation with an elderly patient in a rural setting, a nurse to use a vein finder to insert an IV on the first try, or a surgical resident to practice surgery in a virtual setting at home, the possibilities are endless - intelligent tech can be used to deliver informed, efficient, and personalized care. Insights For End-User Engagement Over eighty percent of health executives worry their organizations are not prepared for the ramifications of these technological advancements. However, being able to explain their decisions based on AI information can be critical, and the need to ensure trust, safety, and compliance is paramount for success. If the digital transformation of creative health systems is able to engage the end user of the technology properly, then its impact will be far greater and its adoption inevitable . If you’re a pragmatic, problem-solver who’s interested how data can evolve the healthcare industry, we may have a role for you. A globally recognized health organization is searching for a Director Data Analytics & Strategy in Chicago. You’ll help to drive data strategy within the organization, define best practices, evaluate programs, build insight roadmaps for customer data insights, and more. For more information on this role or to explore wider opportunities.
04. July 2018
Did you know New York’s Wall Street, a bastion of financial institutions, investment banks, brokerage firms and more was once an actual wall built by the Dutch to repel an English invasion? Though images of skyscrapers or movie scenes from Wall Street and The Wolf of Wall Street may flash in your mind when you think of it, the world of traditional finance has changed.FinTech businesses– a merging of finance and technology – and Challenger banks are challenging the establishment – Tier 1 banking. In an industry in which traditional banking is facing a shakeup of epic proportions from Challenger banks, finance executives increasingly turn to quantitative analysts for help. Today’s analysts want to be more invested, to make a difference and take end-to-end ownership of Model Development/Credit Strategy projects.What is a Quantitative Analyst?Quantitative analysts help financial firms make decisions about risk, pricing, and invests. But, their ultimate goal is to maximize profits – whether that be by reducing risk or generating profits – using complex mathematical models to inform business decisions.Much like the word “tech” has infiltrated other industries – advertising, marketing, retail, insurance, and so on – and the need to offer both technical (hard) and business (soft) skills remains. These analysts must be able to apply scientific methods to approach data from all angles. They must also be able to translate and interpret the information into actionable insights for their firms.Get on the Fast TrackAccording to the Bureau of Labor Statistics (BLS), the financial analyst category (inclusive of quantitative analysts) is expected to grow 16% from 2012 to 2022 making it the fastest occupation on average. Demand is high and rising which makes competition extreme for quantitative analyst roles. Below are a few ways, you can get a leg up on the competition.Check out Michael Halls-Moore, the founder of QuantStart.com, and his Self-Study Plan for Becoming a Quantitative Analyst.#Be able to think for yourself and question everything. Look for the not-so-obvious answers.Don’t get stuck in conventional models and explore new paths. Get creative.Leave your MBA at the door. Many firms are more interested in those with a scientific background – engineering, computer science, math, or physics (natural sciences).Focus programming language studies on Python, R, and C++.Attend an event at the Wall Street Technology Association (WSTA®) created to provide opportunities to learn from and connect with other finance professionals. This year they’re launching an Innovation Showcase at its annual Summer Social on June 13. This event will showcase leading-edge technology solutions and a chance to network with other colleagues in the industry. Tickets are sold out but heads up for next year. Show Me the MoneyIf you’re a master mathematician, statistician, financier, or economist, Wall Street institutions will always need Quantitative Analysts to measure risk, to analyze, and to generate profits. After all, at nearly 30% above the national average, Wall Street is where the money is.If you’re looking for a new challenge and want get your foot in the door at a FinTech start up looking to shake up the nonprime market, we have a role for you. We’re hiring for a Lead Data Scientist to take the reins to develop, deploy, and maintain a credit-based model from scratch to enable under-served and emerging markets around the world. Contact Edward Flynn, Recruitment Consultant +1 212 796 6070 email@example.comCredit Risk not your thing? No worries, check out our current vacancies or contact our East Coast team to learn more.For the East Coast team please call 212-796-6070, or email firstname.lastname@example.org.
13. June 2018
New York advertising campaigns are legendary. Think Don Draper and the boys of Mad Men. But, from the 1960s to now? The times they are a changin’. In today’s world, advertising and technology have converged to keep up with the times. The power is in the hands of the customer and insight jobs help data professionals gain insight into customer’s needs, wants, and desires. The same is true of the job search and the customer is you. The candidate.As high tech as the process of jobsearching, recruiting, and hiring have become, don’t shed the basics just yet. Though creative design and the addition of embedded video play a role, the traditional resume in its simplicity is still viable. When employees remained with a company ten, twenty, or thirty years, the chronological resume was preferred. It showed stability and progression throughout a career. More often than not, three pieces of paper defined your job search – cover letter, resume, and reference list. If you really wanted to stand out, a handwritten thank you note delivered 24-48 hours after the interview.In today’s world of remote working, digital nomads, and global business, those three to four items remain as touchpoints. Your cover letter can be your video, highlighting the projects and achievements within your resume. The reference list of today falls somewhere between your online portfolio, your social media pages, as well as direct contact with past bosses and colleagues. And that thank you note? Whether emailed or hand-written, it closes the circle of the hunt giving you an opportunity to not only express thanks, but to enhance the interview with a new question, an answer to a question, or fill in a gap.There is a lot of competition today in the job search and even in the science, technology, engineering, and mechanical (STEM) focused industries where demand is high; it’s important to put your best foot forward.Touchpoints Offer InsightEach touchpoint, from cover letter to thank you note offers a hiring manager, recruitment, and staffing agencies a better understanding of their potential candidate.Cover LetterThe cover letter is an introduction. However, it isn’t all about you. A cover letter is written to show a company how you can help them solve their complex business problems as well as lets them know you’re interested in working with them versus simply needing a job.ResumeYour resume can either be chronological or functional. In today’s environment, it’s likely a mix of both. But, ultimately, your resume is what backs up your cover letter. It is a list of your education, work experience, skills, highlights, and achievements. With the added element of video, tell becomes show, giving a potential recruiter or hiring manager additional insight into your skills and capabilities.Reference ListLess than a decade ago, the reference list was simply a piece of paper which listed previous supervisors or colleagues who verified you could do what you said you could do. It also helped hiring managers, recruitment or staffing agencies gain an idea of who you were as a person so they could ascertain whether or not you might be a good cultural fit for the company. Today, that reference list can be a testimonials page on your website, your social media interactions, or simply a list of usually about three people (two professional references and one personal reference).Going the Extra MileGoing the extra mile used to simply mean to be sure to follow up with a thank you note after your interview. But, in today’s world of online profiles, social media pages, embedded video in your resume or online profile, and so on, adding depth and offering further insight can be daunting. Read on for how one candidate in the hunt for his dream job used his professional skills to land the job of his dreams.A recent article on LinkedIn, took the job search a step farther. A one-way plane ticket, a leap of faith, and putting his skills to use landed a candidate his dream job. Putting his technical skills to use and to automate his job search, he created an application. Not only did it help him manage his time, but it also gave him a project to use as example. In essence, he hacked the job search.Are you as comfortable flexing your analytics muscles as you are explaining your findings to stakeholders? We may have a role for you. We’re looking for a VP Advanced Analytics in the AdTech space within the heart of NYC to lead and drive a global tech giant’s efforts to predict customer behaviors across multiple channels.Harnham specializes in Junior and Senior Data and Analytics roles, check out our current vacancies or contact us to learn more.For the East Coast team please call 212-796-6070, or email email@example.com.
11. April 2018