Research, develop, backtest new alpha signals. Collaborate closely with the HoR to build the framework that meet the business's dynamic needs. Collaborate with Technology teams to deliver, test models and manage delivery of projects. Work closely with controllers and model risk groups to ensure thorough documentation and approval of models. Proven prior experience in eFX spot market making, alpha generation and systematic-strategies management. Advanced degree (MSc. / PhD) in a numerate discipline, such as computer science, mathematics, engineering, physics or a similar quantitative field. Big data analysis experience is a prerequisite. Machine learning and AI is advantageous. Strong programming skills in Python; familiarity with KDB/q is advantageous. Excellent communication skills and experience within a front-office environment Proven track record in independent project management. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. Expected base pay rates for the role will be between $150,000 - $200,000 per year for Associate and $200,000 - $250,000 for VP, at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
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