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.

Women in Data Science

It's 2018 and the predictions of two and five years ago remain. There is a shortage of talent for what has been billed the hottest career of the 21st century. Why? Among the answers to this question, lies lack of diversity within data science teams. With the Women in Data Science (WiDS) Conference set for March 5th around the globe, we wanted to focus on the lack of gender diversity in data science and STEM roles in general. In the UK, women make up nearly 13% of the STEM workforce versus 26% in the US, though both countries are still woefully underrepresented. Yet, a McKinsey Diversity Report found that 15% of diverse and gender-diverse businesses are more likely to outperform those businesses that are not. We spoke with McElla Pappas, Vice President of Harnham regarding her thoughts on the talent shortage with a particular focus on the shortage of women entering the data science field. What do you think would generate interest? What would bring more people to the field of data science? I think to increase the candidate pool and engage more women in data science requires a blend of analytical traits and effective communication of what the data tells us. This blending creates more of an organic challenge and a task that can be a bit more results-oriented catering more to the science of how women think and what we look for in a data science role. The science that I've always heard is women like to see impact, to see growth so we need to shift the conversation from "this is a technical role" to "this is a role that is changing the way healthcare will look tomorrow". If we can focus and drive more women toward the messaging of what we're impacting; whether it be in the healthcare space, learning and development space, or improving customer experience, I'm sure we'll see more engagement from women. Do companies need to be more educated to the benefits of women in data? Businesses need to have a level of emotional intelligence to understand women want to be on the same playing field. Companies need to push them from a confidence perspective and manage individually rather than in a group. They also have a responsibility to ask why aren't you putting your hand up, you've got the skills. It's all about confidence.  That said I don't believe all companies require education on the benefits of women in data. We have a customer who is actively looking for female data science talent, so we've been working to put together an event for women in data science in which high level women in the data science industry speak at the conference. Should women interested in data science target a position in a start-up or a more established firm?  By their very nature, smaller organizations can offer more cross-functional exposure versus larger and more established organizations. However, within the departments of larger organizations there may be opportunity to gain more commercial exposure. In general, though, gaining more exposure at varying levels and in different departments are more likely to be found in smaller organizations. Help us change the conversation and take that step towards a new big data and analytics role. You can check out list of current vacancies here. For the East Coast and Mid-West teams please call 212-796-6070 or email newyorkinfo@harnham.com. For the West Coast team call 415-614-4999 or email sanfraninfo@harnham.com. 

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