Technical Trading Data Analyst at The Resource Collaborative (Boston, MA)

Job Description

The Company
Our client is one of the world's largest independent investment management firms. With US$1 trillion in assets under management as of 30 September 2018, they serve as a trusted adviser to institutional clients and mutual fund sponsors in over 60 countries. Their innovative investment solutions are built on the strength of proprietary, independent research and span the global capital markets, including equity, fixed income, multi-asset, and alternative strategies. As a private partnership whose sole business is investment management, their long-term views and interests are aligned with those of their clients. They are committed to attracting a talented and diverse workforce, and to fostering an open, collaborative, and inclusive culture because they believe multiple perspectives lead to more informed investment and business decisions. As an Equal Opportunity Employer, they welcome people with diverse life experiences, fresh ideas, and specialized subject-matter expertise.

The Position
We are seeking a Trading Data Analyst to join the Trading Data & Analytics team. Located in Boston, the ideal candidate will be part of a team dedicated to creating a streamlined trading cost analysis infrastructure and process for Global Trading, as well as providing oversight and support for our proprietary allocation algorithms.

The firm's Trading Department employs over 60 traders globally and operates in specialized teams according to sectors, regions and products. Their investment and trading activities are conducted on an industry-leading internally-developed software platform, which they believe creates a meaningful competitive advantage. They are also supported by an in-house team of managers and analysts, who oversee the "business” of the department and provide in-depth, action-oriented insights into their trading capabilities and activities.

Responsibilities

The Trading Data Analyst's primary responsibilities will include but will not be limited to:

• Overseeing the performance for proprietary trade allocation optimization engine;
• Designing, building and back-testing new models for any future product or strategy rollouts;
• Partnering with traders and trading management to improve overall execution results through innovation, enhanced decision making tools and documentation;
• Collaborating with the investment science team to implement a Transaction Cost Analysis (TCA) framework for Global Trading designed to support client reporting, best execution, trader insight and supervisory needs; and
• Partnering with trading technology, external vendors, and the dealer community on producing a high quality data environment surrounding the life cycle of a trade across various asset class types (equities, fixed income, FX, derivatives).

Qualifications
The Trading Data Analyst must be able to work quickly and accurately under pressure, possess a high degree of analytical ability and have the ability to plan/prioritize tasks in a fluid environment. Team orientation and the ability to work in concert with external service providers and colleagues located around the world are essential. Successful candidates must have impeccable integrity, a fiduciary mindset, and the ability to consistently place the interest of clients as the number one factor in judgment, decision-making and actions. Knowledge of equities, fixed income and foreign exchange is preferred but in-depth knowledge of all markets is not required.
Other attributes include:

• Deep optimization training coupled with strong working knowledge of tools like Gurobi, CPLEX, Symphony, or Axioma;
• Strong academic credentials; a Bachelor's degree in a quantitative or engineering field is required. A graduate degree in a field such as Operations Research or Financial Engineering is preferred;
• Hands-on technical ability, including coding proficiency in languages like Python, R, SQL, Java, C++/C#;
• Working knowledge of quantitative tools and technologies used for TCA, order execution and risk management;
• Demonstrable evidence of analyzing/documenting complex business processes and translating those into business requirements;
• Strong analytical aptitude and ability to perform deep-dive data analysis and high level strategic thinking;
• Proven organizational and communication skills with an emphasis on accuracy, concision and timeliness; and
• A minimum of 3 years of relevant experience in a technical role; experience in the financial services industry will be viewed favorably.

 
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