Client Algo Quant - VP, Onsite
Who we are looking for
As part of State Street's eFX business expansion plan, this role involves generating and researching ideas to increase the breadth and depth of our client algo execution offering, enhance customer experience, as well as working closely with different trading teams to promote internalization.
Due to the role requirements, this job needs to be performed primarily in the office with some flex work opportunities available.
Why this role is important to us
The team you will be joining is a part of State Street Markets (SSM). When owners and managers of institutional assets need research, trading, securities lending and innovative portfolio strategies, they turn to SSM business unit. As our investment research and trading arm, SSM's number one goal is to enhance and preserve our clients' portfolio values by applying technology, optimizing trading, and linking asset classes and markets across the world.
Join us if making your mark in the capital markets industry from day one is a challenge you are up for.
What you will be responsible for
As a Client Algo Quant, VP, you will:
• Involve in the full life cycle of algo product development. Generating new ideas, identifying performance improvements and control gaps, specifying, developing, back testing and prototyping quant models, performing liquidity analysis and provisioning, working closely with IT development team and trading teams
• Work with sales, traders and meet with clients to understand algo requirements, be the subject matter expert to address clients' questions and perform bespoke analysis as required
• Analyze and optimize algo flow and behavior to improve performance and customer experience
• Display a culture of individual ownership of tasks to embed a clear individual sense of accountability in performing the role
• Display the highest level of the Code of Conduct and support the 'Risk Excellence' culture within the business
What we value
These skills will help you succeed in this role:
Experience and solid knowledge in eFX market and developing FX algos
Excellent interpersonal skills to communicate clearly with traders, sales, clients and able to go into details when working with IT
Object oriented programming skills: Java or C++
Proficiency in statistical packages such as Matlab, Python or R
Strong statistical foundations and experience in analyzing large data sets and tick data
Education & Preferred Qualifications
Postgraduate degree (PhD or Masters) in Mathematics, Data Analytics, Machine Learning, Statistics or related field.
3-5 years + exp with eFX markets and developing FX algos
Additional requirements
Pragmatic mindset - research should be targeted at delivering innovative solutions to solve business problems and improve profitability
Self-motivated and with ability to work and add value with minimal supervision
Salary Range: $200,000 - $200,000 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes:
For a full overview, visit https://hrportal.ehr.com/statestreet/Home
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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