Quantitative Systematic Trading Intern Job at Susquehanna International Group (New York)

Quantitative Systematic Trading Intern

As a Quantitative Systematic Trading Intern at Susquehanna, you will work on pro...

Location

Australia , Sydney

Salary:

Not provided

Susquehanna International Group

Expiration Date

Until further notice

Requirements

Students in the penultimate year of their PhD program in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
Solid, analytical problem-solving skills
Excellent logical reasoning
Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
Experience writing code to process and analyze large sets of data, especially in Python
Experience in C++ or other low level programming languages is a plus
Demonstrated interest in strategic games and/or competitive activities
Ability to thrive in a fast-paced environment

Job Responsibility

Apply probability, statistics and mathematical creativity to several impactful trading projects
Collaborate with researchers, traders, and technologists to help transform our quantitative modeling into trading opportunities and strategies
Join an industry leading training program and be mentored by industry experts on topics including option theory and option modeling

What we offer

Fully stocked kitchen - daily breakfast and lunch
Regular social, sporting, and community events
Visa sponsorship and relocation package where required

Quantitative Systematic Trading Intern

As a quantitative Systematic Trading Intern at Susquehanna, you will work on pro...

Location

United States , Bala Cynwyd (Philadelphia Area), Pennsylvania

Salary:

Not provided

Susquehanna International Group

Expiration Date

Until further notice

Requirements

Masters (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
Clear communicators in a fast-paced and highly collaborative environment
Programmers comfortable processing and analyzing large data sets in Python
Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

Job Responsibility

Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
Create strategies to execute on modelling ideas under simulated competition
Backtest ideas using historical market data and revise strategies
Explore all aspects of quant work and different areas of Susquehanna’s business
Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Quantitative Systematic Trading Intern

As a Quantitative Systematic Trading Intern at Susquehanna, you will work on pro...

Location

United States , Bala Cynwyd (Philadelphia Area), Pennsylvania

Salary:

Not provided

Susquehanna International Group

Expiration Date

Until further notice

Requirements

PhDs (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
Clear communicators in a fast-paced and highly collaborative environment
Programmers comfortable processing and analyzing large data sets in Python
experience with C++ (or another low-level language) is a plus
Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

Job Responsibility

Modelling. Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
Execution. Create strategies to execute on modelling ideas under simulated competition
Evaluation. Backtest ideas using historical market data and revise strategies
Breadth. Explore all aspects of quant work and different areas of Susquehanna’s business
Education. Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
Collaboration. Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Quantitative Research and Trading Intern

This role is ideal for students eager to apply quantitative skills to real-world...

Location

United States , Monroeville

Salary:

Not provided

SESCO Enterprises

Expiration Date

Until further notice

Requirements

Undergrad or master's in a technical discipline (e.g., Mathematics, Statistics, Physics, Economics, Engineering) or equivalent professional experience with progressive responsibilities
Strong foundation in statistics and programming (Python or similar)
Ability to develop predictive models and market simulations
Analytical curiosity and strong problem-solving skills

Job Responsibility

Work on projects involving power system design, supply and demand dynamics, and market pricing trends
Support the development of systematic trade strategies and identify energy trading opportunities
Gain hands-on experience with network modeling, economic dispatch, linear optimization, and grid topology
Analyze key market drivers such as weather, load, fuel costs, outages, and transmission constraints
Provide ad hoc analysis for the trading desk during live market hours

Executive Director, QIS Structuring

Location

United States , New York

Salary:

215000.00 - 355000.00 USD / Year

Wells Fargo

Expiration Date

June 29, 2026

Requirements

7+ years of Securities Sales Trading experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience

Job Responsibility

Research, develop, and evaluate new quantitative investment strategies, index solutions across linear and non-linear markets, leveraging derivatives, alternative data, and machine learning techniques
Implement strategies in close coordination with sales, trading, quantitative research, legal, compliance and technology teams to ensure accurate, efficient execution
Partner with sales teams and clients to design customized investment solutions for both institutional and retail distribution channels
Prepare marketing/presentation materials, market updates, performance analyses and engage with sales teams and clients to showcase capabilities and originate new business opportunities
Document, maintain, and oversee systematic strategies and indices for investor use
Build tools, using Python, to support QIS index design and improve platform efficiency
Mentor and develop junior team members, fostering a culture of excellence, innovation, and client-centricity
Monitor and analyze performance across the firm's systematic strategy offerings, providing insights and recommendations to clients and internal stakeholders

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

Senior Health Economics Modelling Consultant

As part of Parexel Consulting, you will play a vital role in helping biopharmace...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Sound training and extensive experience in health economics including the conceptualization and development of cost-effectiveness and budget impact models (8+ years, ideally in a consultancy environment)
Solid experience of managing modelling projects as well as experience leading/coaching a project team
Experience of programming and software such as VBA, SAS, R is an advantage
Keen interest in medical research, provision of healthcare and the pharmaceutical industry
Master's degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics or statistics
Deep expertise in health economic modelling (Excel/VBA, R)
Solid understanding of HTA-relevant guidelines, techniques and methodologies
Sound expertise in generative AI tools for health economics modelling
Exceptional client relationship and account management capabilities
Proven influencing and negotiation skills, comfortable in discussing trade-offs and methodological decisions with senior client stakeholders

Job Responsibility

Oversee the development of complex health economic models for various health technologies, ensuring alignment with client needs and industry standards
Lead medium-scale projects, provide technical expertise, and contribute to business development activities
Provide high quality, timely, scientific/strategic solutions to meet client needs
Check health economic models, using appropriate software tools, to elucidate and express the economic value of clients’ products
Systematically search for health economic models published in the scientific literature as well from HTA bodies
Responding to model questions from clients and from authorities and provide senior models with for review and approval
Building simple CEM's and BIM's
Oversee the development of health economic models, using appropriate software tools, to elucidate and express the economic value of clients’ products
Systematically search for and synthesize disparate qualitative and quantitative health economic evidence, and interpret meaningfully
Write, refine, review and critique sections of reports, journal manuscripts and other deliverables for client or external delivery

Fulltime

Manager, Product Management, Acquisition Service

We are seeking a Product Manager who can work horizontally across platforms and ...

Location

United States , New York; Richmond; Chicago; McLean

Salary:

149800.00 - 205100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Developing an end-to-end understanding of our Decisioning as a Service platforms and surrounding ecosystems to anticipate how changes in one part of system interplay with the rest
Driving the Card Acquisitions financial-core modernization to completion, transitioning from our legacy vendor to the new internally built core, unlocking data processing flows that power real-time, intelligent customer experiences
Systematically partnering with our internal business unit customers to understand their strategic priorities and needs from Decisioning Platforms
Collaborating with product and engineering teams across platforms to create a continuous feedback loop to improve our acquisitions service capabilities and move to self-serve
Understanding long term roadmaps across decisioning ecosystem and feeding that into scoping/prioritization of business initiatives to create efficiencies
Socializing and refining complex acquisitions initiatives by collaborating with capability product/engineering leads and architecture to create solutions
Identifying the full set of resources needed for delivery of groomed initiatives and driving prioritization and trade-off conversations as necessary
Partnering with Ops, Legal/Compliance, Data governance and Risk to identify if new controls or updates are needed for well managed launch of initiatives
Leading development and execution of end to end testing scenarios and validations to launch new initiatives in a well-managed way

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

Platform and Product Manager

This Vice President role sits within Citi's Cash Equities Execution team in Lond...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrated experience in a product management, execution advisory, or platform management capacity within a cash equities trading environment at an investment bank or execution venue
typically 6–10 years of relevant front-office or closely adjacent experience
Deep domain expertise in equities electronic execution, including hands-on familiarity with DMA products, execution algorithms, Smart Order Routing, dark pool access, and exchange co-location infrastructure across major EMEA venues
Strong technical proficiency, with practical experience using Q/kdb+ and Python for trade data analysis, product performance monitoring, and execution quality analytics
knowledge of FIX Protocol is advantageous
Thorough understanding of the EMEA regulatory landscape as it applies to electronic trading, specifically MiFID II requirements including algorithmic trading controls, market access risk management, and systematic internaliser frameworks
Proven stakeholder management and communication skills, with the ability to translate complex technical concepts for both client-facing and senior internal audiences, and to influence outcomes across a matrixed, global organisation
A quantitative undergraduate or postgraduate degree in Finance, Economics, Mathematics, Engineering, Computer Science, or a related discipline from a leading academic institution
CFA or equivalent professional qualification is advantageous but not essential

Job Responsibility

Own and drive the product strategy and roadmap for Citi's cash equities electronic execution platform, ensuring alignment with business priorities and client demand
Partner with technology, quant research, and trading teams to coordinate production releases, manage go-live processes for new client solutions, and troubleshoot platform issues in co-ordination with production management, network engineers, and application development groups
Oversee platform governance and regulatory compliance, ensuring all electronic trading products adhere to applicable obligations including MiFID II market access controls, and maintain a robust risk management and governance framework across the execution product suite
Produce and present in-depth analytics on product usage, client trading trends, execution performance, and revenue attribution, leveraging data-driven insights to inform platform investment decisions and enhance client outcomes
Drive cross-functional initiatives, acting as business lead for technology projects and coordinating across trading desks — including Programme Trading, High Touch, and Equity Derivatives — to support broader cash equities platform integration and client onboarding

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

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Quantitative Systematic Trading Intern

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Quantitative Systematic Trading Intern

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