Harnham

Quantitative Analytics Jobs

The model candidate

We have seen this role evolve over time to the structure it now inhabits. 

Working with numerous financial firms, we have placed talented Quantitative Analysts who have grown with the industry, bringing a wealth of experience and formal mathematical concepts.

The quantifiable management of risk underlines the decision making of many financial institutions. Placing candidates who have extensive skills in computer programming languages such as C, C++, Java, R, MATLAB, Mathematica and Python is something we specialize in.

Though the competition for roles is tough. Quantitative Analytics is a vibrant and stimulating discipline, with varied responsibilities; touching on aspects of statistics and predictive modeling.

We are well versed in spotting the essential skills and attributes the right candidate possesses. Beyond being highly numerate, we understand that it is our candidates' varied backgrounds that make them more rounded through practical experience.

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Quantitative Analysts, the Science Behind the Money

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 edwardflynn@harnham.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 newyorkinfo@harnham.com.

Jenni Kavanagh

13. June 2018

Junior Data Scientists Set To Scale Up In 2019

We’re at a unique time in our history, in which there are more jobs available than people to fill them. Major employers are looking at apprenticeships, free degrees, or simply abandoning degree requirements altogether. There is one field, however, which affords candidates a range of industries, apprenticeship opportunities, and advancement like no other field before. Data. Much like the freshman congress just entering the House of Representatives, Junior Data Scientists are at a distinct advantage as we enter 2019. If you’re a Junior Data Scientist interested in advancing your skills and seeing where it can take you. This is your year.  Careful at the Curve Like many changes which seem to happen both too quickly and not quickly enough, there will be a learning curve in 2019 and in the years to come. It will be felt by everyone; business and data professional alike, but it’s important to realize that like all growing pains in regard to change, things will get better.  The talent shortage, particularly in the US, as of August 2018 was estimated to be 151,217. Places like New York City, Los Angeles, and San Francisco felt the brunt of this shortage. This skills shortage affects everyone and could strain a company’s ability to deliver, unless there is a strong scaling strategy in place.  It’s at this crossroads, the prevalence of Junior Data Scientists can help bridge the strain. However, too much too fast could also lead to potential misinterpretation of data causing some to fall short on their ROI. Part of learning is making mistakes and being aware there is a learning curve as Senior and Junior Data & Analytics professionals work together toward the company’s common goal. According to LinkedIn’s Workforce Report for January, hiring has been moderate with a 4.1% increase over that of December 2017. In the continuing pulse of the Fourth Industrial Revolution, tech skills still reign. Soft skills, though, are increasingly in demand as everyone levels up to keep up in regard to business management skills, strategy, and digital transformation across enterprise endeavors. So, what are some ways to maximize your opportunities. Below is a quick overview: Skills for the New Year, New You Tech Skills  Artificial Intelligence, Machine Learning, and Data Visualization are a few of the top skills needed in the new year. Language processing skills and knowing which tools are best for which problem e.g. Python, SQL, R, Excel and Scala. Data storage, optimization, and modeling can help lay formulate strategy by knowing where data is, the best data to use, and what it can do to create information for actionable insights aligned with business practices. Quantitative and Predictive Analysis, and Software Development are additional building blocks for skills-based knowledge for any data professional. Business Management Skills Strategy, vendor management, change management. Not only are tech skills important, but as the business landscape itself changes and c-suite executives level up their own data and digital transformation skills, it’s important for Data Scientists to do the same. They should understand the business sector they’re working in so they can create solutions to complex problems which align with their company’s objectives, goals, and logistics. Communication Skills  It can be all too easy to get caught up in the minutiae of detail and work singly on a project, but it is here communication becomes key as it helps bring in other departments to help analyze the data correctly. These departments may include those in a non-technical field such as marketing, and the data professional must be able to clearly and fluently translate their findings.  Evaluate how your goals and skills align. Find others who have a similar mindset, but be open to new opportunities. You never know what skills you might inherit when you branch out of your comfort zone. Create Your Own Curriculum for Lifelong Learning Opportunities Practice deliberately, build your own project, give and get feedback on your work, and track your progress.  The Future So Far… In general, the Data Science job outlook continues skyward as vast amounts of data requires skilled professionals to clean it, and determine how and why it’s going to be used. Someone must be able to unravel this information to not only increase its value, but be able to explain what they’ve learned in plain language to non-technical professionals, business executives, and in many cases board and/or stakeholders. If you’re interested in 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 sanfraninfo@harnham.com. For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to newyorkinfo@harnham.com.

Kristianna Chung

16. January 2019

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