Data Scientist - (Fixed Income, Currency, and Commodities)

Data Scientist - (Fixed Income, Currency, and Commodities)

Job Title: Data Scientist - (Fixed Income, Currency, and Commodities)
Contract Type: Permanent
Location: Manhattan
Salary: US$140000.00 - US$200000.00 per annum + Bonus + Benefits
Reference: HQ00061662_1504638185
Contact Name: Matt Behar
Contact Email:
Job Published: September 05, 2017 20:03

Job Description

Data Scientist (Fixed Income, Currency, and Commodities) - New York - $140k 200k + Bonus + Benefits
I have an exciting opportunity for a front office Data Scientist to work for a top tier Bank within the Fixed Income, Currency, and Commodities Technology Group. The FAST is a cross-divisional team in Fixed Income, Currencies & Commodities (FICC). FAST Technology partners with strats, sales, traders, and franchise managers in FICC market making businesses to understand and quantify opportunities, inefficiencies and workflow obstacles. We develop intuitive and relevant analytics to optimize business leaders? Decision making and, partnering with FAST strats, convert data-driven insights into action by embedding those analytics into simple front-line sales and trading workflow tools.

Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. Fixed Income, Currency, and Commodities (FICC) Technology plays a key role in the firm's ability to help institutional clients buy and sell financial instruments on liquidity venues around the world, an important revenue driver for the firm. In FICC Technology we use both open source industry standard and internal proprietary technologies to build cutting edge platforms for pricing, execution, and control over each of these millions of transactions.


As a front-office engineer on the FAST team, you will be at the forefront of a data-driven initiative to optimize decision making across multiple asset classes. You may be building a web app that utilizes vital franchise data to suggest potential trades, improving our ability to capture and visualize trade and inquiry data, or architecting data caches that can be used across applications.

At times you will be asked to step into the trading floor environment and at others you will be called upon to guide the decisions of leadership. Whether your interests fall in machine learning, business optimization or full stack development, you will find your calling amidst our diverse team.
Exposure to aspects of trading in various fixed income products
Connectivity with traders, salespeople, strategists and multiple areas of Technology in a dynamic environment
Overall, this role will draw upon your knowledge of programming and analytical skills: you will be challenged to rapidly prototype early-stage solutions. Data-driven insights from usage patterns and user feedback will drive you to condense your work into simple and efficient real-time workflow tools. You will also be required to think strategically on a higher level, proposing new business metrics or suggesting alternatives. As you gain expertise in the dynamics of the trading business, you will have the opportunity to dive deeper into your areas of interest.
Bachelors degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts
Comfortable multi-tasking, managing multiple stakeholders and working as part of a team
Excellent communication skills including experience speaking to technical and business audiences and working globally
Expertise in Java, Javascript and/or Python
Can apply an entrepreneurial approach and passion to problem solving and product development
Strong problem solving and analytical skills
Interest in fixed income products
Knowledge of trading technologies in the front-office of a trading organization
Experience in fixed income asset classes
Strong programming experience in at least one compiled language (e.g. C++, Java)
In-depth knowledge of relational and columnar SQL databases, including database design

Lawrence Harvey is acting as an employment agency in regards to this position.
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