Capital Markets, FX Specialist

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica

ROLE We're seeking an investment analyst to join a discretionary macro team focused on liquid credit. RESPONSIBILITIES Conduct rigorous fundamental bottom up credit research to identify attractive long/short investment opportunities. This will entail credit analysis, financial modelling, documentation reviews, etc. Analyze businesses and capital structures (loans, bonds, CDS) across Distressed, High Yield, and High Grade credit markets and develop credit opinions. Synthesize market information and develop thematic trade ideas across sectors. Develop differentiated investment views from consensus and push conviction or contrarian viewpoints. Monitor existing positions, including news-flow, fundamental developments, and supply. Engage and maintain external relationships (sell-side research, syndicate, company management, ratings agencies) to develop views on issuers. REQUIREMENTS 3-6 years of experience in credit research or trading on the buy-side or sell-side, ideally as a desk analyst or trader. Experience building full three statement models (forward/backward), including all key KPIs. Direct experience reviewing credit agreements and bond indentures in order to understand corporate balance sheet flexibility. Prior industry specific focus and experience preferred. Entrepreneurial mindset. Commitment to the highest ethical standards. About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

JOB DESCRIPTION Point72 Asset Management is seeking a Quantitative Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO. PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams. The ideal candidate is a highly analytical and creative problem-solver who can conduct independent research, work effectively as part of a team, and effectively summarize and communicate findings. RESPONSIBILITES Conduct bottoms-up analysis on the firm’s portfolios to identify strengths and weaknesses in idea generation, trading, and construction Form top-down views on which strategies offer the best risk/reward for the firm Invent new analytics to quantify skill and frameworks to support trade-offs between different sources of skill and risk Quantify market drivers to support pre-trade risk taking and decision making Communicate key findings to the team, PMs, and Co-CIOs Learn to develop in and contribute back to shared code base, reports, and research tools DESIRABLE CANDIDATES 2 or more years of experience in a quantitative research, portfolio management, or risk management role dealing with equities or equities investments Undergraduate, MS or Ph.D. in Finance, Computer Science, Mathematics, Engineering, or Physics, or other quantitative discipline Experience with statistical models and essential methods of quantitative finance Some level of proficiency in quantitative programming (Python preferred) Highly analytical Good interpersonal skills Detail-oriented Self-starter Ability to work cooperatively in a team-oriented, fast-paced environment A commitment to the highest ethical standards and to act with professionalism and integrity Point72 is a leading global

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Product Sales is a team of deep functional and technical specialists who both lead and advise on deals for the most strategically important products in Stripe’s portfolio. The Payouts Product Sales team is tasked with engaging the largest most complex users and platforms in the industry to provide solutions that address their cash flow and capital challenges, and help them build world class programmable global money movement businesses. The team is lean, highly visible and highly cross-functional! What you’ll do As an Account Executive, Product (Payouts) at Stripe, you will use your sales and product expertise to help drive growth of Stripe’s payouts products solutions. You will collaborate with product, engineering and marketing teams to develop deep product and industry knowledge and drive strategic deals. You will be instrumental in leading in-depth product discussions with prospect users Globally – and building and executing against our go to market strategy. Responsibilities Pipeline Building - Hunt for new users Lead complex new deals when related to Stripes payout capabilities and tailored solutions Deeply understand the sales process and competitors offerings in terms of payouts, with a strong emphasis to overcoming competition to win all deals Synthesize and relay customer feedback and our findings to inform Stripe’s product roadmap Engage with Product, Marketing and Account teams to help amplify our growth trajec

Drive the delivery and evolution of critical Canadian capital markets infrastructure. The Role We are supporting a leading capital markets client through a critical market infrastructure transformation initiative focused on the Canadian Fixed Income ecosystem and the ongoing development of key clearing, settlement and securities services. As a Project Manager , you will coordinate business and technology delivery activities across multiple initiatives, working with Product Managers, Finance, Portfolio Management, Operations, Technology and Client Engagement teams. You will help ensure initiatives are effectively planned, governed and delivered, with clear visibility of priorities, budgets, risks, dependencies and operational impacts. This role combines business-focused project management with strong stakeholder coordination and may also include responsibility for technology delivery on smaller initiatives. What You’ll Do Coordinate product initiatives with Product Managers, defining key features and deliverables while supporting business case development with Product Management and Finance teams. Partner with Portfolio Management on priorities and budgets, maintaining status reporting, financial updates, delivery milestones, risks and dependencies. Coordinate release plans and schedules with Technology Project Managers, tracking delivery progress and supporting technology project management for smaller initiatives where required. Assess business and operational impacts with Product Management and Operations teams, coordinating participant impacts and communications with the Client Engagement team. Support governance and compliance activities, including operational documentation, legal and regulatory requirements, audit control updates, risk logs and CMRE assessments where required. What We’re Looking For 8+ years of experience delivering complex programs, projects or transformation initiatives within Capital Markets, Financial Services or another highly regulated en