Algorithmic Trading Developer

Location: New York

** Corporate Culture and Guiding Principles
** TP ICAP operates at the heart of the world’s financial, energy and commodities markets.

We are professional intermediaries playing a pivotal role in the world’s financial markets, covering FX, Rates, Credit, Equities, Energy & Commodities.

Globally, we are a leading provider of market participants, with execution via a range of regulated venues, covering a full spectrum of over-the-counter (OTC) asset classes. Matching buyers and sellers, we facilitate the development of liquidity and price discovery in these markets and provide insight and context to our clients. We operate a hybrid model where brokers provide business-critical intelligence to clients.

It’s supplemented by proprietary screens for historical data, analytics, and execution functionality.

Our clients include banks, insurance companies, pension and hedge funds, asset managers, energy producers and refiners, as well as risk and compliance managers and charities.

We are known in the market for our
** Honesty**,
** Integrity,
** and
** Excellence
* * in the provision of service to our clients. Above all else, we
** Respect
* * our clients and each other, without bias. Employees are expected to uphold the values and principles of our cultural framework in performance of their job duties.
** Role Overview
** Liquidnet is seeking an exceptional and experienced Quantitative Trading Strategy developer to join the Global Trading Technology team. This experienced individual has a proven track record of developing quality software and trading strategies in a world class financial services organization.
Quantitative Trading is one of the main driving forces in today's Equity Markets. Providing clients with superior order execution while minimizing their market impact and risk exposure, trading strategies and smart order routing is a rapidly expanding field. These platforms are driven by quantitative analytics, real time market data, historical tick data, market signal events, and statistical analysis. The equities Global Trading Technology organization is responsible for developing, supporting, and delivering these state-of-the-art trading solutions to end-users including internal trading desks as well as buy-side clients.
We are looking for an outstanding candidate to be a part of agile, highly professional team delivering client-facing, high-availability, low-latency trading algorithms and related technology. This person is responsible for developing and supporting the products and will report to the Head of Algo Development. **#hybrid schedule
**** Responsibilities
* ** Design, build and maintain Liquidnet’s Next Generation Global Algorithmic Trading platform including highly customizable low latency trading strategies as well as key infrastructure components such as low latency order management and order handling, rules engines and other algorithmic trading components.
* Work closely with Quants on implementation of trading algorithms, quantitative models, and analytical signals.
* Work with Product and Sales teams on client requests and algo customizations.
* Develop innovative solutions in a strategic, pragmatic way.
* Succeed in a collaborative development environment.
* Be curious and inquisitive around industry trends and strive for continuous improvement.
** Qualifications/Skills
*** BS/BA degree or higher in Computer Science, Mathematics, or related Engineering field.
* At least 3-5 years’ experience
** developing low latency
** trading strategies in
** Equities, Futures or Listed Derivatives** (execution algorithms, prop strategies, risk trading, smart routing etc.)
* Proven track record in designing, developing, and implementing of trading strategies such as benchmark tracking, liquidity seeking and dark aggregation algorithms.
* Has intimate knowledge of lit and dark market micro-structure, order types, liquidity, market data and regulatory matters (Reg NMS, ISO orders, MiFID II, dark pools, liquidity seeking, venue heat maps, etc.) in the US and/or other global markets.
* Prior experience in efficient implementation of quantitative models, performing statistical data analysis, building/using data…