Brokerage Operations – Equities, Derivatives and Fixed-Income 

Description

Interactive Brokers (“IBKR”) is seeking an Operations Analyst to join our Clearing Department. The Clearing Department is responsible for critical post-trade functions for global equities, derivatives, commodities, fixed-income, forex and other investment securities. These functions include electronic trade and position reconciliation, inventory management, settlement operations and client account transfers. Given IBKR’s global footprint, breadth of product offering, and passion for technology and automation, the Clearing Department presents a unique opportunity to learn many facets of the brokerage business and offers the candidate exciting potential for growth. 

IBKR has developed state-of-the-art proprietary clearing and back-office systems. In this role, you will operate these ever-evolving systems to solve interesting and unique problems in a fast-paced and collaborative environment. The ideal candidate will also be challenged to contribute to the development of these systems to achieve higher degrees of operational efficiency, risk mitigation, and/or to support new business or investment products. If you are enthusiastic about the financial markets, enjoy problem solving, working with sophisticated computer systems and their developers, and want to be a difference maker in a growing company, we welcome your application. 

Responsibilities

• Trade and position reconciliations.
• Post-trade settlement processing.
• Reconciling and processing corporate action and dividend events.
• Oversight of derivatives settlement and expiry processing.
• Coverage includes the Singapore market and IBKR’s Singapore client base activity in global markets.

Qualifications and Skills

• Bachelor’s degree
• Strong problem-solving and analytical skills
• Exceptional attention to detail and the drive to efficiently maintain accuracy in a fast-paced environment
• Excellent written and verbal communication skills in English
• Strong computer skills and competency with MS Office products preferred. 

Company Benefits & Perks

ROLE/RESPONSIBILITIES:

The Cubist Business Management team manages all aspects of onboarding new systematic equity trading teams and systematic macro trading teams as well as deployments of new trading strategies.  The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management, and trading relationship management. General responsibilities include, but are not limited to, assisting veteran Cubist Business Management team members along the following lines:

• Complete project lifecycle management launching new PM Teams into production
• Design PM research and trading solutions that adhere to firm standards
• Educate PM teams on Point72 operating procedures and technology integration
• Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors
• Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity

The person in this role must have a technical background as well as good communication skills and a willingness to learn day-to-day trading and finance operations.  The candidate should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations or demonstrate an aptitude to learn. Familiarity with research and market data sources is a strong plus but not a requirement.

REQUIREMENTS:

• This is a highly selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization.
• A BS in finance, statistics, math, and engineering or computer science is strongly preferred. 2 years of relevant work experience is a plus.
• Must have the ability to assist veteran specialists while simultaneously managing multiple long-term and short-term projects independently under very tight project deadlines.
• Must have strong interpersonal skills, excellent time management skills and a team attitude.
• Ability to clearly document technical specifications and articulate concepts in a less-technical fashion.
• Working experience in Python and SQL. Linux/Unix scripting (Perl, bash, etc.) a plus.
• Additional experience with database design is a plus.
• We support systematic trading in liquid instruments (global equities, futures, and foreign exchange) as well as systematic trading in macro instruments (e.g., bonds, rates, and credit). Candidates with specific work experience and knowledge of market regulations in these areas will be strongly preferred but not required.
• Working experience with digital currency exchanges, liquidity providers, derivative financial products, and business operations a plus.
• Commitment to the highest ethical standards. 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a Quantitative Researcher to work on alpha generation, model development, and the full research pipeline for mid-frequency equity statistical arbitrage strategies. The position will collaborate closely with the Portfolio Manager and other team members, contributing across all stages — from data processing and feature engineering to backtesting and live deployment.

Key Responsibilities

• Research, design, and implement predictive signals and features across global equities.
• Work with large, diverse datasets; develop robust feature engineering and point in time (PIT) data cleaning pipelines.
• Collaborate with team members to implement research infrastructure, backtesting frameworks, and analytical tools.
• Build frameworks and tools for performance attribution and ongoing live strategy monitoring.

Requirements

• 2–8 years of experience in quant equities, with a primary focus on alpha research.
• Familiarity with both standard and alternative datasets used in equity stat arb strategies, including data cleansing, ticker mapping, point-in-time (PIT) handling, and other dataset idiosyncrasies.
• Strong programming skills in Python; experience with SQL and distributed data environments.
• Advanced degree (PhD/MSc) in Mathematics, Physics, Statistics, Computer Science, or related quantitative discipline.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-AC] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Trading Operations Analyst, your work will involve reconciliation, balancing of accounts, profit-and-loss calculation and analysis, trade capture and a variety of other activities to support the firm’s trading activities in various asset classes.  In this role, you’ll have regular, direct interaction with a variety of teams, including finance, technology, operations, and the front office.  The ability to work in a fast-paced environment while maintaining a high degree of professionalism is paramount.

Responsibilities: 

• Perform detailed trade, position, and valuation reconciliation
• Provide assistance in trade capture for all products related to the firm’s activity
• Field reconciliation-related inquiries from a variety of teams within the firm
• Support trade management activities, such as processing expirations, exercises and assignments, corporate actions etc.
• Broad operational support of the firm’s trading desks located in Singapore
• Mastery of the firm’s proprietary trade capture, inventory management, and P&L reporting systems necessary to support the desk’s activity
• Act as process super-user for current functionality and provide critical support and advice regarding needed enhancements to technology, workflows, and processes
• Liaise with technical personnel to secure proper support/coverage for ongoing operations as well as procure enhancements for insufficient or new workflows
• Adopt, integrate, and promote new technology as it becomes available

Requirements:

• 2 to 4 years of experience in in detail-oriented role working at a working at a hedge fund, prop, or investment bank, ideally in a middle office or back-office function.
• Prior background in exchange-traded futures and futures options, equities and equities options, and FX spot/forwards and options
• Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations
• Bachelor’s degree in finance, economics, or another quantitative field or material equivalent exposure
• Meticulous attention to details and accuracy in work
• Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact
• Strong MS Excel and SQL background is required
• Previous experience with Python, SQL, VBA, or PowerQuery are highly preferred
• Excellent verbal and written communication skills, with the ability to effectively interact and collaborate with global teams

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

ABOUT THE ROLE:

We are seeking a skilled Legal Operations Analyst to enhance xAI’s systems and operations by providing deep expertise in assessing and handling legal requests from government entities all over the world. In this role, you will process high-volume content-removal requests under local laws (hate speech, defamation, national security, data-privacy statutes) as well as productions of user information in response to legal process (subpoenas, court orders, warrants, MLAT requests, etc.).

You will leverage your expertise in legal operations, regulatory compliance, and content moderation to support both day-to-day execution and the optimization of AI-driven automation. You will collaborate with technical teams to design, train, and refine AI agents, curate high-quality training data from real cases, and build tools that scale operations while maintaining accuracy and speed. This role requires adaptability, strong analytical 

RESPONSIBILITIES:

• You will join on an on-call rotation, working closely with other members of Safety to provide timely responses to emergency requests and proactive referrals from all over the world. 
• You will handle global legal information and content removal requests, including document intake and processing. 
• Execute and quality-control complex content-removal and user-data-production cases across multiple jurisdictions while applying and interpreting platform policies shaped by evolving legal requirements.
• Serve as the go-to escalation point for ambiguous or high-risk legal requests, exercising sound judgment and ensuring compliance.
• Continuously improve AI agents that automate triage, initial decisioning, redaction, compliance checks, and response workflows.
• Create and maintain high-quality training datasets, evaluation rubrics, and feedback loops using real Legal Operations cases to enhance AI performance.
• Identify automation opportunities and collaborate with technical teams to build end-to-end workflows using automation tools.
• Measure and report on automation coverage, accuracy, risk reduction, and efficiency gains while training and upskilling the broader Legal Operations team.
• Analyze complex legal and compliance problems in partnership with legal stakeholders to ensure platform rules and regulatory requirements are followed.
• Interpret, analyze, and execute tasks based on evolving instructions and regulatory changes, maintaining precision and adaptability in partnership with cross-functional stakeholders. 
• You may represent X in witness testimony or other external engagements

BASIC QUALIFICATIONS:

• 2+ years of hands-on professional experience in legal operations, trust & safety, content moderation, compliance, or e-discovery at a major technology or social media company.
• Demonstrated expertise in global content-removal processes and/or user-data production in response to legal requests (subpoenas, MLATs, court orders, and local law enforcement demands).
• Proficiency in reading and writing professional English with excellent communication, interpersonal, analytical, and organizational skills.
• Strong technical aptitude, including experience with prompt engineering, AI workflows, or automation tools in a regulated environment.
• Excellent reading comprehension and the ability to exercise autonomous judgment with limited or ambiguous data.
• Passion for technological advancements and using AI to amplify human expertise in legal and compliance processes.

PREFERRED SKILLS AND QUALIFICATIONS:

• Relevant certification, license, or advanced training, specifically in areas such as: copyright, privacy laws, child safety, hate speech, incitement, harassment, or misinformation laws by region.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI workflows in a technical setting.

About The Company

AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

We are seeking a Trading Operations Analyst to support our high-volume trading operations. This hands-on role involves daily reconciliations, process improvements, discrepancy resolution, and trader support in a fast-paced quant environment.

Core Responsibilities

• Record and reconcile daily account balances across multiple trading venues
• Execute operational processes efficiently and identify opportunities for improvement
• Investigate and resolve ad-hoc discrepancies promptly
• Collaborate with internal teams to address queries and ensure seamless operations
• Provide operational support to senior traders and trading desk

Requirements

• Singapore Citizens and PRs only (no visa sponsorship available)
• 0-2 years of full-time work experience
• Diploma/Degree in quantitative/technical field
• Strong attention to detail and accuracy
• Reliable and trustworthy (handles sensitive financial data)
• Good problem-solving and communication skills
• Proficient in Excel; basic Python a plus
• Curious, eager to learn AI tools

Nice to Have

• Prior internship experience in finance or technology
• Interest in using AI to develop internal tools (dashboards, automation)

Why You Should Join Us

• Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals.
• Transparent Structure. Our employees know that we value their ideas and contributions.
• Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees.

The Role

We are seeking a talented and motivated Quantitative Researcher to join our dynamic systematic trading team. The ideal candidate will have a strong background in software development, a passion for technology, and a keen interest in the financial industry. You will work closely with our quantitative PMs, developers, and fellow researchers to develop and maintain high-performance trading systems and tools.

Key Responsibilities 

1. Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning (ML) models. 
2. Develop research pipelines on a distributed compute cluster for tree-based models, deep learning, NLP/LLM, and related ML models. 
3. Design and prototype ML-driven alphas for cash equities, futures, and other liquid asset classes. 
4. Collaborate with researchers and developers to deploy signals into production, and perform iterative improvements based on real performance. 
5. Track academic and industry advances in machine learning and present actionable ideas to the team. 

Required Skills & Qualifications

1. MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university. 
2. Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank. 
3. Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices. 
4. Proficiency in python (and preferably C++ or similar), coupled with experience on distributed/hybrid compute environments. 
5. Excellent analytical, verbal, and written communication skills, with a proactive, ownership-driven mindset suited to the fast-paced trading floor.

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

About the Team:

The Customer Success team is composed of our Product Specialist group, a team of highly trained product experts as well as our Account Managers, who provide strategic guidance to our robust book of business, spanning from Fortune 1000 businesses to some of the largest financial institutions in the world.

First and foremost, the Customer Success team are value added partners to our clients. We are extremely consultative in our approach and will do everything we can to solve for client challenges through our product. We spend our waking hours obsessing over our customers and making sure they have the right data at their fingertips to make the best decision possible.  We are responsible for retaining our customers, maximizing usage of the product and partnering with the sales team to uncover opportunities to grow our business.

About the Role: 

The Account Manager, Financial Services is responsible for developing three-dimensional relationships with customers and key stakeholders in order to effectively retain and grow our customer base. In this role, you will serve as our Financial clients’ main point of contact for inbound queries, outbound engagement, relationship updates, and renewal discussions. You’ll need to be versatile. You will work with a variety of clients from Hedge Funds, Asset Managers, Investment Banks to Private Equity and more.. In this role, you’ll be expected to collaborate with account executives, identifying new business opportunities to help expand our footprint within each client account.

While key performance indicators include retention rate and the identification of growth opportunities, the responsibilities of Account Managers go much deeper. The team also extracts a wealth of knowledge from our clients, bringing that internally to product, marketing and sales teams in order to maximize the effectiveness of our business’ strategy and communication.

Who You Are:

• Relationship-driven: You have a strong ability to develop instant rapport with new people and you’ve demonstrated success at managing and growing relationships within Fortune 1000 clients and/or financial services companies
• A subject matter expert: You excel at what you do and know how to succeed within your role -- this includes both internal and external relationship management as well as strong business acumen and commitment to effective processes and tactics
• Energetic and Creative: You possess a natural intellectual curiosity with the ability to learn and adapt quickly
• You understand our business: We are a rapidly growing SaaS company and are incredibly passionate about our product. We are looking for individuals who understand best practices for client engagement within a SaaS environment; preferably with exposure to AI and/or research-based products
• Committed to delivering results: You set the example for grit, work ethic, initiative, enthusiasm and commitment amongst your peers.
• A strong communicator: You’ll regularly be engaged with anyone from an Analyst to a C-level executive and that requires exceptional oral, written and presentation skills. You’ll need to distill and explain complex issues in simple terms.

What You’ll Do: 

• Maximize retention rate across the book of business
• You’ll increase and drive adoption of AlphaSense solutions into other business units of existing clients to uncover new opportunities, exceeding monthly, quarterly and annual revenue goals
• Identify revenue at risk in order to best position the company to prevent churn
• Forecast retention rates
• Collaborate with Account Executives to identify growth opportunities within the book of business
• Understand the ins and out of the business, roles, responsibilities, projects, performance metrics, etc. within our client base in order to more effectively:  1) communicate with users, 2) communicate with decision makers, 3) identify white space, 4) partner with AE to craft most compelling messaging to prospective users
• Cultivate relationships with users and key stakeholders to ensure AlphaSense is viewed as a business partner rather than vendor
• Hold Business Reviews with key stakeholders
• Plan and execute new user onboarding and training initiatives
• Consistent proactive outreach with material and information that’s relevant for our user base
• Serve as our boots on the ground and physical presence within each client (floor walks, lunch and learns, etc.)
• Serve as both the advocate for AlphaSense to the client, and the client advocate within AlphaSense
• Acquire value stories and product feedback from clients. Circulate internally to assist with product development, marketing, sales efforts
• Allocate time effectively to work most closely with high and mid-touch accounts

KYC Onboarding Analyst - Ebury Institutional Solutions (EIS) vertical

Work Pattern: Singapore Office (4 days in office / 1 day from home) 

In this pivotal role, you will be responsible for conducting comprehensive Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) checks for our diverse range of corporate clients, including Trust & Corporate Service Providers, MiFID clients, Funds, and Special Purpose Vehicles (SPVs). You will play a crucial part in the Ebury onboarding process, ensuring compliance with all relevant legislative and regulatory requirements while maintaining direct contact with clients to effectively communicate our onboarding standards.

Your keen analytical skills will be essential as you identify complex ownership structures and financial transaction patterns, allowing you to make informed risk-based decisions on client applications. You'll thrive in a fast-paced environment, managing your own portfolio of cases and collaborating with various teams to streamline processes and enhance client experiences.

With a minimum of 2 years of experience in CDD and EDD, you will bring a comprehensive understanding of financial crime typologies and a proactive mindset to our dynamic team. If you are highly organized, detail-oriented, and possess excellent communication skills, we want you to be part of our mission to make Ebury a leader in financial services.

Join us in shaping a secure financial future for our clients while advancing your career in a supportive and innovative environment. Apply now to become an integral part of our Onboarding team at Ebury!

Responsibilities: 

• Safeguarding Ebury, our existing Clients and prospective Client relationships from financial crime risk - including money laundering, terrorist financing, bribery and corruption, fraud, sanctions risk, tax evasion and reputational risk 
• Performing anti-financial crime checks as part of the Ebury Onboarding process for corporate clients in compliance with relevant legislative, regulatory and internal requirements 
• EIS collaborates with a diverse range of clients, including Trust & Corporate Service Providers, MiFID clients, Funds, and SPV’s. 
• Comprehensive CDD and EDD checks for EIS clients, including the KYC process, identification and analysis of complex ownership structures, financial statements and transaction patterns 
• Comprehensive knowledge of funds, trusts and SPV’s 
• CDD/EDD analysis across all types of legal entities and business sectors in a variety of jurisdictions with an emphasis on local clients 
• Direct contact with clients 
• Presentation of Ebury’s onboarding requirements to clients in a clear and compliant manner 
• Identification of red flags and exposure to financial crime risk, including escalation to Compliance and Senior Management where required 
• Making risk-based decisions to onboard or reject applications 
• Efficient management of a personal portfolio of onboarding cases 
• Ability to function and communicate effectively in a multi-jurisdictional environment 
• Proactive follow-up with clients and sales representatives to ensure timely completion of onboarding analysis 
• Documenting client files in a structured format compliant with internal requirements 
• Identifying opportunities for improvement within the onboarding process
• Support ad-hoc projects within the department and wider business as required 
• Validation of checks carried out by other members of the team
• Support in training delivery 

Requirements: 

• Business fluent in written and spoken English and Mandarin.
• Minimum of 2 years of experience conducting CDD and EDD with corporate clients.
• Understanding of CDD specific to complex entity types, including Funds and Limited Partnerships 
• Advanced knowledge of red flags and financial crime typologies relevant to the payments, FX space and Institutional space 
• Proactive, with the ability to work effectively within a fast-paced and high-pressure environment 
• Highly organised, with the ability to work to deadlines, multi-task, and prioritise and re-prioritise workload as needed 
• Diligent, with excellent attention to detail 
• Effective critical thinking skills, with the ability to find solutions to problems independently 
• Strong communication skills, both written and verbal including working alongside the Front Office 
• Co-operative, and comfortable working in a team environment, including remote teams 
• Curious and engaged, who takes ownership of their own learning journey by asking questions and seeking out new information 
• Adaptable, with the ability to cope with changing products, processes and procedures 
• Motivated and driven, with a desire to make Ebury a success
• Experience of direct client contact within financial services is a plus

#LI-Hybrid

#LI-FM2

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

CDD Risk Analyst, Onboarding

We are looking for an CDD Risk Analyst, Onboarding to be part of our APAC CDD team to support our regional growth. You will be based in Singapore working closely with Sales, Account Management, Compliance, Risk, Regulatory and Finance. In this role you will be responsible for reviewing potential, new and existing merchants from a risk, regulatory and compliance perspective. As a highly regulated company we need to adhere to various rules and regulations and make sure we grow our business with a healthy portfolio of merchants. 

As a first line team, we balance compliance with merchant focus and operate in a time-sensitive environment. CDD/ EDD verification, AML risk knowledge, a good understanding of payments setups and a detail-oriented attitude towards producing quality reviews is what characterises the team.

What you’ll do 

• Conducting due diligence checks via gathering and analyzing the information on new merchant applications 
• Produce risk assessments for new and existing merchants based on provided/gathered information 
• Investigate and resolve blockers to merchant go live and payouts relating to CDD matters 
• Provide advice and assistance to internal stakeholders on CDD matters related to new and existing merchants
• Ensuring compliance with evolving CDD/EDD regulations and internal policies
• Setup processes, monitor and execute checks related to merchant on-boarding
• Evaluate existing procedures to refine and optimize the end to end merchant on-boarding process 

Who you are 

• You have 4 years of prior experience in a risk or compliance related domain 
• You are detail-oriented and have a firm understanding of risk mitigation and Internal Controls related to CDD, EDD and AML/ CFT 
• You are comfortable navigating an operational work environment involving stakeholder management and taking ownership of merchant onboarding till completion
• You have a strong interest in operational processes and are a strong collaborator who is proactive, structured, and able to independently manage multiple work streams; you will also actively seek the answers of what you don’t know
• You have good communication and relationship-building skills, and can work cross-functionally across operations, commercial, product and compliance teams, including across global teams
• Knowledge of the Payments environment is a plus but not strictly required

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Singapore office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Job's mission

As a Senior Analyst, Cybersecurity, you will strengthen ASM’s global digital foundation by embedding security into critical systems and strategic initiatives. You will collaborate across regions and functions to build resilient, scalable security capabilities that protect our people, technology, and operations. Your work enables ASM to innovate boldly and securely in a fast‑moving semiconductor landscape where reliability and trust matter more than ever.

What you will be working on

• Participate in architecture and design discussions for new solutions and initiatives.
• Partner with cross‑functional teams to integrate effective security controls into systems and processes.
• Support security investigations, assessments, and remediation efforts.
• Develop, implement, and maintain IT governance, risk, and compliance (GRC) frameworks, standards, and policies.
• Conduct cybersecurity and compliance risk assessments across technologies, processes, and business areas.
• Validate that security controls are operating effectively and consistently across teams.
• Support gap assessments, internal audits, and external audits.
• Contribute to vendor due‑diligence activities and vendor risk management.
• Participate in disaster recovery and business continuity activities, including cyber drills and business impact analysis.
• Act as a cybersecurity subject matter expert for global IT teams, business partners, vendors, and contractors.
• Engage stakeholders to ensure cybersecurity priorities align with business needs.
• Collaborate with teams across time zones, with flexibility for occasional after‑hours meetings.
• Lead or support security enhancement initiatives in areas such as OT security, AI security, and supply chain security.

What we are looking for

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.
• Minimum five years of cybersecurity experience.
• Professional certifications such as CISSP, CISM, or CCSP.
• Knowledge of cybersecurity threats, vulnerabilities, hacking techniques, and exploitation methods.
• Experience with security technologies such as WAF, EDR, SSE, and DLP.
• Experience performing risk assessments, audits, and compliance monitoring.
• Knowledge of industry frameworks such as NIST.
• Strong analytical and problem‑solving skills.
• Ability to work independently and collaboratively.

What sets you apart

• Deep cybersecurity domain expertise with global exposure.
• Experience with cloud security and cloud computing environments.
• Experience developing security standards and best‑practice guidance.
• Creative and strategic thinking to identify risks and design effective mitigation strategies..

Who We Are

#LI-ONSITE

Who We Are

#LI-ONSITE

Associate, Research & Delivery (Location: Singapore)

Exiger’s team in APAC is seeking highly motivated and inquisitive individuals to join us in making the world a safer place to do business. We are looking for resourceful, driven professionals with a mix of due diligence expertise and customer service abilities to be based in Exiger’s Singapore office, where we deliver top-notch due diligence product to our clients in APAC. In this position, professionals will develop hands-on skills on due diligence research and extensive knowledge on the full suite of Exiger’s product offerings, and assist in the daily client success processes.

This is a unique opportunity, as part of an exceptional team and fast-growing company, to make an impact and to achieve broader leadership responsibilities and career trajectory. 

Key Responsibilities

• Gain extensive knowledge and skills in due diligence research, and the ability to write clear, concise, and thorough reports for clients (Trainings will be provided)
• Identification of pertinent information and development of useful insights into the subject
• Possess familiarity with Exiger APAC team’s portfolio of client accounts, their stakeholders, and their needs/project scopes.
• Manage the daily case take-in from assigned client accounts as well as oversee the product delivery process to ensure reports are delivered on time, providing superior client experience across all client engagements
• Work closely with Staffing and other stakeholders to ensure sufficient resources are assigned to projects in order to meet clients’ expectations and deadlines
• Coordinate with relevant functions to ensure client needs are communicated and expectations are met accordingly.
• Conduct final review before deliveries
• Coordinate with and support other functions, such as Training, to enhance existing methodologies and processes (e.g., updating or developing scope-specific or client-specific training materials for team members) to ensure client requirements are consistently met
• Actively exploring alternative options in scope or delivery options to meet client expectations, exhausting all options to win engagements
• Evaluate and disseminate clients’ feedback, activity, and pipeline to appropriate stakeholders, assist with the resolution thereof and address with clients
• Act as an Exiger brand ambassador by exhibiting positive and professional behavior both internally and externally
• Educate clients on Exiger  updates, products, scopes, and processes, as needed
• Support discussions with relevant stakeholders on opportunities or requests, including assisting with the development of presentations, proposals, and vendor metrics
• Participate in and support calls with clients to discuss new projects or to present findings as needed, setting a collaborative tone to engage clients from a consultative mindset
• Engage in client development with local clients in APAC

Knowledge & Skills

• Excellent writing skills
• Rigorous attention to detail 
• Superior comprehension and analytical abilities
• Excellent logical thinking 
• Ability to work in fast-paced and self-driven environment
• Ability to manage and prioritize several projects and assignments simultaneously
• Organizational and time management competency required
• Ability to collaborate vertically and horizontally across the organization
• Basic knowledge of legal system and politics in Asian countries such as China, Malaysia, Singapore, or Indonesia, in order to understand political exposure/connections
• Interest and understanding of current events, international affairs, financial regulations, economics and/or finance

Professional Experience Required

• Bachelor’s degree required
• Professional fluency/proficiency in English
• Professional fluency/proficiency in a second Asian language such as Chinese, Bahasa, Thai, Korean, Vietnamese, or other Asian languages a plus
• We strongly value your experience in the due diligence industry or the client service space
• Proficiency in working with Microsoft Office software including Word

The Point72 Academy Summer Internship — Singapore

Are you a student interested in pursuing a career in investing? If you are graduating between December 2027 and July 2028, we invite you to apply for our 8-week summer internship, taking place from June to August 2027.   

Launch your investing career in the Point72 Academy, an investment analyst training program that will provide you with the tools and knowledge to build a career in our ever-evolving industry. Since 2015, the Academy has graduated more than 230 analysts onto our platform as of November 2025; some are portfolio managers today.   

The Point72 Academy Summer Internship is a combination of classroom instruction, portfolio casework, and mentorship. The program is designed to give you insights into finance, research, and the workings of the public markets and prepare you for a potential opportunity with the full-time Point72 Academy Associate Program.    

During the internship, you will:   

• Acquire fundamental knowledge and skills necessary to contribute as an analyst, alongside your peers.
• Receive training in accounting, modeling, presenting, and compliance.
• Collaborate with an investment team, gaining firsthand experience of the daily life of an equities analyst and exposure to one of the sectors covered by our Portfolio Managers.
• Work closely with Academy coaches, delving deeper into data analysis and preparing a final pitch on an investment idea.
• Collaborate with Compliance, Information Security and the Office of the Co-CIO to discover efficient ways to harness AI in your investment processes and workflows. 

Who We’re Looking For:   

• We welcome students from all academic disciplines. Your field of study or major is not a determining factor; we seek individuals who can effectively manage teamwork, exhibit integrity, possess intellectual curiosity, demonstrate leadership potential, and express a keen interest in the financial markets.
• Students should have a high enthusiasm for the financial services industry. Interest in analyzing companies and looking at stocks is recommended given the project-based nature of this program.
• Highly self‑motivated with a high risk appetite and the ability to make decisions in an ambiguous environment.
• Candidates with excellent communication skills, both written and verbal in an Asian language.

We Want You to Apply if You Are:   

• A current student who will graduate from university between December 2027 and July 2028.
• Fascinated by research and problem-solving, relentlessly curious, and constantly expanding your horizons.
• Committed to continued success in your academic and professional career with the highest levels of professionalism, integrity, and excellence.
• Commitment to the highest ethical standards.
• Highly self-driven and motivated to explore a career in finance.   

What to Expect:   

• Your online application, essays, and resume will serve as an introduction to who you are as a candidate. Once you complete the online application, we will begin reviewing your profile.
• Selected candidates will then receive an email invitation to participate in a case study, allowing you to showcase your experiences and demonstrate your business acumen.
• Following submission and review of your case study, shortlisted candidates will be invited to complete an online assessment and participate in virtual one‑on‑one interviews with various members of the Academy team. Shortlisted candidates will then be invited to attend a half‑day assessment center. There are two application deadlines: one in mid‑May for candidates interested in an early summer assessment center, and another for students applying over the summer to mid Fall, which will lead to a late fall assessment center. We strongly encourage candidates to apply and complete all requirements as soon as they feel ready to begin the hiring process.

Please note, you may only submit one application to the Academy internship program globally, so only apply to the region you are most interested in.  

Don't miss this opportunity to kickstart your career in the world of investing with the Point72 Academy.   

Please note that any use of GenAI is strictly prohibited when completing this application.  

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.   

We’re a firm that thrives on ideas, and we’ve found that the Point72 Academy has provided us with diverse viewpoints and perspectives, and we are able to offer support in their growth and development as analysts and portfolio managers.  

A discretionary macro investment team is looking to add a fundamental analyst/strategist in rates and FX, focused primarily on Southeast Asian emerging markets.

What you’ll do

• Work with PM to formulate and develop trade ideas across Southeast Asian FX and rates markets
• Develop and maintain sell-side relationships
• Assist in portfolio and risk management
• Conduct ongoing fundamental research to support and enhance the investment activities of the group
• Work on numerous ad-hoc projects to enhance the trade identification and management process
• Work with banks and brokers for information gathering, relationship building and assisting with execution

What’s required

• 10-12 years of experience in fixed income in a strategy or analyst role at a top tier hedge fund, asset manager, or bank
• Highly knowledgeable about Southeast Asian emerging markets
• Knowledge and ability to work throughout the trade-cycle: completing risk-assessment analysis, trade structuring and implementation to the point of execution
• Deep understanding of technical details and idiosyncrasies related to the fixed income markets in these countries
• Strong competency in Excel and VBA, and preferably strong programming skills in a common language such as Python
• Strong communicator who values building relationships with colleagues and stakeholders, and able to significantly raise but also modulate volume depending on opportunity set
• Willingness to take ownership of his/her work, working both independently and within a small team
• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Tuition assistance

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. For more information, visit www.Point72.com/working-here.

Virtu is a leading financial firm that leverages cutting edge technology to offer liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide.

THE ROLE

Our Trading Operations Analysts are responsible for managing the clearance, settlement, and reconciliation of trades and positions on behalf of trade desks across the firm. Trading Operations Analysts work closely with traders, finance, compliance, brokers and custodians, and firm customers to ensure timely settlement of trades, accuracy of books and records, and avoidance of unanticipated risk to both the firm and its customers.

This team also has the opportunity to work closely with software engineers to further automate and enhance robustness of the firm’s operations workflows and to enable trading and customer offerings in new markets and asset classes. Trading Operations Analysts not only become experts in the logistics and mechanics of trade clearance and settlement, but they also play a crucial role in the ability of the firm to conduct trading efficiently and safely, perform challenging and stimulating data analysis, and participate in the architecture of new systems and controls. This is a great role for a candidate looking to start a career in the financial industry, or for a candidate already in the early stages of a career in this space who is looking for a more challenging role with greater responsibility.

THE CANDIDATE

• 2-3 years of experience working in a financial institution   
• Some programming skills (SQL, Python) or the appetite to learn these skills 
• Excellent academic background. All majors welcome but ones with a quantitative lean preferred (computer science, math, sciences, business analytics, economics and related fields)
• Outstanding quantitative problem‐solving skills
• Background in trading operations is an advantage
• A team player with a good attitude and flexibility in their time commitment to the job
• The ability to communicate information precisely and quickly
• The ability to work independently and create solutions without close direction or supervision
• A constant drive to improve existing processes is required
• A highly motivated, tenacious candidate that is excited to learn and grow at a leading, global trading firm
• Background in trading operations is an advantage
• Talented graduates will also be considered for this role

THE PROCESS

After passing an application screening, candidates will be sent an online programming test via email from a service called HackerRank as a first step of the process. This is to gain an understanding of the candidates coding ability.

Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Role Summary

The Lead / Senior Business Analyst is responsible for driving requirements discovery, cross‑functional alignment, and solution clarity across a large‑scale, multi‑stream data transformation programme. This role blends advanced business analysis with selected project‑management responsibilities, enabling end‑to‑end delivery of complex data workstreams while maintaining strong relationships with internal and external stakeholders.

The role will operate across discovery, requirements definition, data onboarding, solution design execution , testing coordination and support, and readiness activities, ensuring clarity, traceability, and quality of all business requirements.

Key Responsibilities

Requirements Leadership & Analysis

• Lead discovery sessions to understand business processes, data flows, operating models, and functional/non‑functional requirements.
• Document clear, structured requirements, user stories, and acceptance criteria across data ingestion, data mastering, data quality, and downstream integration.
• Reformulate unclear requirements and ensure full alignment across business, technical, and operations stakeholders.

Stakeholder Engagement & Relationship Management

• Act as the primary liaison between internal delivery teams, data SMEs, engineering, operations, and client teams.
• Build strong relationships with senior internal and external stakeholders; articulate progress effectively in structured forums.
• Manage expectation setting, requirement validation, and change impacts with diplomacy and clarity.

Cross‑Stream Coordination (Hybrid PM Responsibilities)

• Own workstream planning, scheduling, RAID management, and cross‑team alignment.
• Coordinate activities across requirements, data onboarding, engineering, solution design, testing, and go‑live readiness.
• Provide RAG status updates and ensure inter‑stream dependencies and risks are well understood.

Testing, Validation & Cutover Support

• Support testing strategy design and ensure requirements traceability through UAT, data validation, and cutover events.
• Coordinate automated tests, foundational data checks, and AB comparisons across old vs. new data platforms.

Data Coordination, Analysis & Gap Assessment

• Coordinate data‑related activities with internal teams (e.g., Data Management, Operations, Engineering) and with client stakeholders to ensure all data requirements are clearly understood, documented, and sequenced appropriately
• Conduct data analysis, including reviewing existing datasets, mappings, data structures, business rules, and transformations to identify gaps, ambiguities, or inconsistencies that impact downstream processes.
• Perform gap analysis between current‑state and target‑state data models, data onboarding requirements, and operational workflows.
• Ensure all data requirements, validation rules, and dependencies are captured clearly and communicated to the relevant technical and operational teams.
• Track progress of data readiness activities (dataset preparation, mapping completion, validation steps) and ensure they align with workstream milestones, without owning any vendor or licensing tasks.

Governance & Reporting

• Produce clear workstream packs, status updates, requirement traceability matrices, and risk/issue reports.
• Present updates to Working Groups and Steering Committees when required.

Key Requirements:

• 5+ years in business analysis and/or project management, ideally within financial services, investment data, or enterprise data platforms. 
• Strong background leading multi-stream, complex, or data-heavy transformation programs  within financial services, investment data, or enterprise data platforms.  
• Hands-on experience with:  Requirements gathering, user stories, acceptance criteria. , Cross-functional delivery across data, engineering, operations, and testing.RAID, RAG reporting, dependency management, and structured governance. 
• Deep practical knowledge of investment data domains (Security Master, Price Master, Issuer Master, benchmarks/index data) 
• Bonus: exposure to cloud data platforms (Databricks, Snowflake) and regulated or high‑control environments. 

Preferred

• Experience with cloud‑based data platforms (Databricks, Snowflake, or similar).
• Exposure to regulated environments or high‑control data operations.
• Familiarity with investment data, market data onboarding, or securities reference data.

About Us

GSR is crypto’s capital markets partner, helping founders and institutions scale with confidence. With over a decade of specialized expertise, we deliver institutional-grade market making, OTC trading, and strategic venture capital to support growth at every stage.

Our value goes beyond execution. We provide access to liquidity, real-time market intelligence, and strategic guidance shaped by years operating at the center of global crypto markets. We bridge the gap between traditional finance and digital assets, connecting teams with the capital, market access, and insights they need to build what’s next.

About the Role

As a Quant Trader, you will be at the forefront of creating innovative models and algorithms in the dynamic world of digital assets. Your work will involve generating insights into cryptocurrency market behaviour and developing state-of-the-art automated trading algorithms.

You may analyse market microstructure to enhance existing algorithm performance, design or develop advanced computing architectures, and implement new trading strategies. Your contributions will help solve complex business problems using quantitative and technological techniques.

Specific responsibilities could include:

• analysing market data to improve existing trading algorithms;
  
  
• designing complex computer system architectures;
  
  
• creating new data-driven trading models and algorithms.
  
  

Responsibilities

• Develop and implement cutting-edge automated trading algorithms tailored for cryptocurrency markets.
  
  
• Conduct in-depth research and analysis to improve trading strategies and risk-management techniques.
  
  
• Discover patterns through research and translate them into trading signals, validating them through our backtesting environment and rigorous performance analysis.
  
  
• Collaborate with a team of experts to build solutions for automated trading in a rapidly evolving market.
  
  
• Continuously stay informed about emerging trends and technologies in crypto and apply these insights to your work.
  
  

Your Profile

• A degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a related technical field.
  
  
• Excellent logical reasoning and analytical skills.
  
  
• Experience writing code to process and analyse large datasets.
  
  
• Proficiency in software development and engineering principles.
  
  

Preferred Qualifications

• Prior experience in electronic trading—ideally within FX or futures—as a developer or researcher.
  
  
• Strong software-development skills, particularly in lower-level languages and Python.
  
  
• Familiarity with the unique aspects of cryptocurrency markets and blockchain technology.
  
  

What We Offer

• A collaborative and transparent company culture founded on Integrity, Innovation, and Performance.
  
  
• Benefits including healthcare, dental, vision, retirement planning, 30 days of holiday, and free lunches when in the office.
  
  
• A hybrid working pattern across our global offices in London, the US, Singapore, Zug, and Málaga.
  
  
• Regular town halls, team lunches, offsites, and social events.
  
  
• A strong Corporate and Social Responsibility programme, including charity matching and volunteer days.
  
  
• Immigration and relocation support where required.

Financial institutions worldwide trust Numerix’s motto, “When numbers matter,” because our platforms handle the most complex nonlinear structured products with precision and transparency. Our solutions support front office teams end-to-end - from issuance and trading through pricing, valuation, RFQs, OMS, and trade lifecycle control - while enabling risk and middle office teams to holistically measure, optimize, and validate risk across capital, hedging, and regulatory requirements.  Numerix is a powerhouse of worldclass quantitative, financial engineering, and technology talent. Our fast-growing business combines disciplined innovation and strategic acquisitions with strong organic growth fueled by long-term customer success, setting the standard for multi-asset analytics in an increasingly complex financial landscape.

The Customer Success team is pioneering a new structural initiative to scale customer success enablement and adoption of Numerix solutions across APAC. To support this effort, we are adding a Customer Success Enablement Consultant who will help shape, structure, and execute adoption strategies across the APAC book of business. This role reports directly to the Head of Customer Success, APAC.

You will be the face of Numerix for training, product adoption, and customer enablement, working directly with banks, securities firms, insurance companies, and investment managers. You will play a central role in cross-functional collaboration at Numerix with Product, Professional Services, Customer Support, and Sales teams to strengthen and scale client adoption.  This role is designed for early career professionals who want to specialize in customer success enablement. While the position has meaningful ownership and visibility, it is a solo-contributor role that is supported by senior Customer Success leadership.

In this role, you will build rare expertise at the intersection of quantitative finance, enterprise software, and customer enablement. You will gain exposure to front, middle-risk office workflows across leading financial institutions, develop skills in data-driven adoption and training design, and shape how Numerix solutions are embedded into customers’ day-to-day operations.  Over time, this role can evolve into senior enablement, customer success management, product strategy, or commercial roles within Numerix.

What You'll Do:

• Design and deliver training and enablement content tailored to different customer lifecycle stages, personas, and domain verticals.
• Develop a deep understanding of customer workflows and pain points, translating Numerix capabilities into integral parts of customers’ day-to-day operations.
• Drive user adoption by expanding Numerix solutions across core and adjacent user groups within client organizations.
• Execute training and adoption campaigns at scale across the APAC customer base, measuring outcomes and effectiveness.
• Assist in designing enablement assets across onboarding, reinforcement, and advanced usage, leveraging scalable formats such as digital content, self‑service resources, and structured learning paths.
• Contribute to the evolution of Numerix’s enablement framework, balancing high‑touch engagement with scalable digital adoption approaches.
• Deploy and monitor adoption and product utilization metrics to identify trends, feature value, and growth opportunities.
• Act as the voice of the customer by using metrics and direct feedback to inform Product and Engineering teams.
• Collaborate with senior Customer Success and Sales stakeholders to align on account strategy and support execution.
• Assist with the implementation and optimization of tools, processes, and workflows to enable customer success at scale.

Success in this role is measured by enablement outcomes and adoption impact in partnership with Customer Success and Sales teams. While this role does not own commercial targets directly, it plays a critical enabling role in improving product utilization, customer satisfaction, and long-term retention.

• Growth in product utilization and Numerix adoption across enterprise customers in APAC.
• Alignment of the product roadmap with APAC customer needs and usage trends.
• Scaled, repeatable adoption and training capabilities across Numerix.

What We're Looking For:

• Bachelor’s degree in business, economics, finance, or a technical discipline (e.g., engineering or science).
• 2+ years of experience in a post-sales, customer-facing role (e.g., Customer Success Manager, Business Analyst, Project Manager) with exposure to derivatives at financial institutions or fintech companies
  OR MBA or Master’s degree in management, marketing, or business analytics.
• Strong collaboration skills and experience working cross-functionally.
• Customer-centric mindset with curiosity for complex products and how they deliver value.
• Excellent communication skills with the ability to engage users and act as an empathetic internal advocate.
• Full professional proficiency in English.
• Willingness to travel up to 25%.

Extra Credit:

• CFA, FRM, or related financial analysis and risk management certifications.
• Hands on training or enablement experience, including content creation and in-person delivery.

What We Offer:

In addition to competitive compensation, benefits, and perks, this role offers the opportunity to grow into a global customer success enablement function. You will build deep expertise in Numerix’s enterprise solutions, gaining a strong competitive edge and differentiated knowledge within the global capital markets community.

Where You’ll Work:

This role is a hybrid role based at one of the following Numerix APAC offices: Singapore, Hong Kong, or Taipei.

An important note on salary:

The annual pay range for this position is based on the preferred primary location of the role which is listed above. If you are applying to this role at a location that is not the preferred primary location, please keep in mind the salary range will vary and may fall outside of what is listed. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Also note that unsolicited contact from third-party recruiters or agencies will not be considered at this time. We respectfully request no outreach from agencies.

About Us

GSR is crypto’s capital markets partner, helping founders and institutions scale with confidence. With over a decade of specialized expertise, we deliver institutional-grade market making, OTC trading, and strategic venture capital to support growth at every stage.

Our value goes beyond execution. We provide access to liquidity, real-time market intelligence, and strategic guidance shaped by years operating at the center of global crypto markets. We bridge the gap between traditional finance and digital assets, connecting teams with the capital, market access, and insights they need to build what’s next.

About the Role

We are looking for a Senior OTC Trader to join our global trading team, with a focus on driving client flow, revenue generation, and market expansion.

In this role, you will leverage your trading expertise and client relationships to originate and execute OTC trades across spot and derivatives markets. You will play a key role in expanding GSR’s OTC franchise by developing and executing client flow, managing risk, and delivering best-in-class execution.

This is a front-office, revenue-generating role, suited to an experienced trader with a strong track record in crypto markets and deep relationships across institutional or high-volume counterparties.

Responsibilities

• Originate, price, and execute OTC trades across crypto spot and derivatives markets.
  
  
• Develop and grow client relationships, driving trading volumes and revenue generation.
  
  
• Maintain and expand relationships with institutional clients, funds, brokers, and HNW counterparties.
  
  
• Manage risk and exposure in real time, ensuring adherence to internal risk frameworks.
  
  
• Monitor market conditions, liquidity, and pricing to optimize execution and profitability.
  
  
• Collaborate with internal trading, quant, and technology teams to enhance pricing, execution, and client offering.
  
  
• Contribute to the expansion of GSR’s OTC franchise across regions and products.
  
  

Your Profile

• Proven experience in crypto OTC trading or sales trading, with a strong track record of revenue generation.
  
  
• Consistent track record of generating and growing client flow within crypto OTC or institutional trading environments.
  
  
• Deep understanding of crypto markets, including spot, derivatives, and liquidity dynamics.
  
  
• Strong commercial acumen with the ability to identify and execute profitable trading opportunities.
  
  
• Experience managing risk and trading positions in fast-moving markets.
  
  
• Established relationships across institutional clients, funds, brokers, or high-volume counterparties.
  
  
• Entrepreneurial mindset with the ability to operate autonomously in a high-performance environment.
  
  
• Strong communication and relationship management skills.
  
  

What We Offer

A collaborative and transparent company culture founded on Integrity, Innovation, and Performance.

Benefits including healthcare, dental, vision, retirement planning, 30 days of holiday, and free lunches when in the office.

Hybrid working pattern across our global offices in London, the US, Singapore, Zug, and Malaga.

Regular Town Halls, team lunches, offsites, and social events.

A strong Corporate and Social Responsibility program, including charity matching and volunteer days.

Immigration and relocation support where required.

Equal Opportunity Statement

GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based on any legally protected characteristics such as race, religion, colour, national origin, sexual orientation, gender, gender identity, gender expression, or age.

We operate as a meritocracy — all aspects of hiring, promotion, and performance management are based on business needs and individual merit and competence.

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide 

The firm’s complementary core offerings—market making, client execution services, and trading venues—give Virtu a competitive advantage in developing and applying innovative tools that deliver efficiencies and performance across the organization. We continuously develop and employ innovative technology, trading strategies and risk management systems that drive superior and highly scalable trading platforms and are looking for an experienced Quantitative Strategist to help us propel our technology forward in the options trading space. 

ROLE OVERVIEW 

As a Quantitative Strategist on our Options desk, you will collaborate with our team of experienced traders, quants, and developers in a collegiate and collaborative environment that encourages cross-team exposure globally.

KEY RESPONSIBILITIES

• Apply your observational skills and modern statistical methods to build predictive models, generate volatility signals, and translate them into viable trading strategies
• Analyze and optimize existing signals to drive strategy performance improvements
• Identify best opportunities to improve our existing volatility pricing models
• Calibrate strategies across different products and adapt to changing market regimes
• Collaborate with the team to implement and integrate new signals into our current trading infrastructure

THE CANDIDATE

• Minimum 3-5 years of experience in quantitative research at an OAMM (Options Automated Market Maker). Familiarity with India options market is a plus
• Advanced degree (preferably PhD) in Science, Mathematics, Engineering, or other quantitative field
• Proven track record building volatility and/or delta signals as an options market making quant
• A good understanding in options pricing theory
• Experience analyzing large datasets to systematically identify new patterns
• Proficient in programming, Python, Java or C++ preferred
• Exceptional quantitative, mathematical, and problem-solving skills

About Grasshopper Asset Management

Grasshopper Asset Management, a subsidiary of Grasshopper, is a Licensed Fund Management Company (LFMC) regulated by the Monetary Authority of Singapore. With low-latency quantitative strategies, we generate diversified, stable and uncorrelated returns with an unbroken 18 year streak of profitability by maintaining multiple layers of algorithmic and manual risk controls.

About the Role:

We are seeking a highly motivated Quant Researcher to be part of a new team. You will help design, analyse and refine statistical systematic trading strategies in a fast-paced, data-driven environment.

This is a career-defining opportunity which will allow you to gain hands-on exposure to real trading systems, market microstructure, and quantitative research workflows whilst being one of the founding members of a new team.

As a key member of the Trading Team, you’ll:

• Research and improve existing systematic trading strategies across global equities, futures, commodities, or options
• Analyse large datasets of market microstructure, order book, and tick data to identify opportunities
• Develop, backtest, and optimise predictive models using modern statistical, econometric, and ML techniques
• Develop production-quality code to translate research insights into live trading systems
• Evaluate performance, quantitative risk management, and continuously refine existing strategies through data-driven iteration
• Contribute to the research infrastructure — simulation tools, data pipelines, and performance analytics

We’d love for you to have:

• 2-5 years of programming experience in Python (pandas, numpy, scipy), or statistical/machine learning tech-stack in another programming language that we can reuse/redirect you in Python/C++
• Solid understanding of data structures, algorithms, and software fundamentals; demonstrable ability to turn quant ideas into working codes
• Familiarity with predictive statistics, machine learning, econometrics or time-series analysis, along with an interest in scientific methods for truth finding/hypothesis testing
• Bilingual English and Mandarin (spoken and written) competency to liaise with external stakeholders
• Basic knowledge of networking and Linux environments is a plus
• Basic knowledge of producing reproducible research is a plus

Nice to haves:

• Balance of pragmatism with a desire to see things done right and ambition to see new teams succeed and profit-share
• Open-minded, able to propose ideas, and provide constructive feedback on others' ideas
• Ability to reason under uncertainty, form hypotheses, test them empirically, and accept failure/post mortem
• Strong attention to detail and curiosity about how markets work

What we offer:

• 21 days annual leave
• An opportunity to learn from experienced professionals, fostering mentorship opportunities and personal growth
• Comprehensive Insurance Package with extended coverage for dependents
• Well stocked pantry
• Annual Dental & Wellness budget
• Gym membership
• Employee bonus referrals

#gam

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are looking for a Quantamental Research Analyst with a passion for financial markets and a solid understanding on company fundamentals, who possesses a quantitative mindset to join our team in Singapore.

What You'll Do:

• Collaborate with quantitative traders globally in performing in depth research on ETF pricing and trading strategy
• Analyze the fundamental implications of corporate actions and special situations; determine fair value and generate trade ideas
• Improve dividend predictions and analyze their impact on equity indices and futures.
• Work with equity quants to study internal and external datasets, understand their relationships with asset prices, and develop prediction models or actionable use cases
• Work with quantitative developers to productionize, automate, and scale research and trading processes
• Be on top of macroeconomic events and market news in identifying the potential trading opportunities that is hard to capture through our automated strategies
• Other duties as assigned or needed

Skills You’ll Need:

• Bachelor’s in Finance, Economics, Mathematics, or a related quantitative field
• 3–6 years in buy/sell-side research, prop trading, ETF/index research, or corporate actions analysis
• High attention to details and apply to identify information that market might have missed
• Have the quantitative mindset to develop a systematic approach to address problems
• Good understanding of company fundamentals and financial ratios
• Comfortable to deal with large datasets using Python
• Desire to work within a collaborative, team-driven, fast-paced environment

We are working with a decentralised exchange which looks to innovate on providing the best of CEXs and DEXs, focusing on building a safe, simple and scalable platform for trading. They differentiate themselves by offering institutional level systems and support whilst remaining on-chain and decentralised.

We are in search of a highly adept Trading Systems Engineer for the core Engineering team to strengthen the platform's performance, scalability, and observability. The ideal candidate will have a strong background in low-latency trading systems and experience supporting clients like quant funds and market makers in integrating with APIs (both REST and WebSocket).

As the Trading Gateway Engineer, responsibilities include implementing core connectivity systems to expand the trading engine into a global, low-latency network. This involves building foundational data distribution channels and improving their throughput and latency.

Successful candidates will engage with clients' developers and project managers, addressing inquiries and resolving issues. Collaboration with the Gateway team and Trading Engineering will be essential to troubleshoot API and trading issues while contributing to the overall Gateway roadmap. Additionally, work with the Product Engineering team to enhance the SDK for blockchain signatures used by API traders.

What you’ll be doing:

• Develop and optimize the core matching engine and risk engine for the exchange, ensuring high performance and low latency.
• Write highly reliable, production-ready code that guarantees the financial safety and integrity of computations.
• Investigate and debug complex issues through thorough analysis of logs.
• Create and maintain comprehensive unit tests and advanced integration tests to validate the exchange's financial computational correctness.
• Work with the Quant team to develop, test, and refine our various trading algorithms.
• Continuously improve and refine the trading core to meet evolving business and technical requirements.
• Stay updated with the latest advancements in HFT systems and low-latency trading technologies.

What we’re looking for:

• Minimum of 7 years of experience in software engineering, with at least 3 years focused on high-frequency trading (HFT) systems.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in building and optimizing low-latency trading infrastructure. Proficient in low-latency message bus systems such as Aeron or Chronicle Queue.
• Strong proficiency in Golang and Solidity. Expertise in deterministic coding and zero garbage-collection techniques.
• Exceptional debugging and troubleshooting skills, with the ability to analyze complex logs and traces to identify and resolve issues.
• Strong emphasis on writing unit tests, integration tests, and other advanced testing methodologies to ensure financial computational correctness.
• Experience in the financial technology industry, particularly in high-frequency trading or crypto exchanges.
• Experience with real-time data processing systems and streaming technologies.

#LI-REMOTE

About the Company

The company is the world’s first licensed hybrid decentralized exchange (DEX), on a mission to make wealth-building as natural as daily life. It is building a compliant, self-custodial platform for premium tokenized strategies—from crypto to alternative investments—on trusted infrastructure. Backed by top-tier investors including Further Ventures, Matrix Partners, Delphi Digital, Hack VC, QCP, and SIG.

Core Requirements

The company seeks exceptional senior individual contributors who combine strong product leadership with deep quantitative skills. Candidates should demonstrate:

• Prior experience building or operating trading venues, exchanges, or market infrastructure
• Strong background as a quant, trader, or financial modeler, with hands-on experience designing or validating trading or risk models
• Proven Product Manager strength: Owning outcomes end-to-end, driving cross-functional alignment, writing high-quality precise specifications
• Deep understanding of margining, liquidation, leverage, and systemic risk mechanics
• Strong operational mindset and comfort owning systems in production
• Excellent communication skills, especially explaining complex quantitative reasoning clearly
• Sound judgment under ambiguity and high-stakes decision-making

Responsibilities

1) Quantitative Product Ownership

• Devise and own consistent, coherent quantitative direction across trading, margining, liquidation, lending, and risk-related products
• Ensure models, parameters, and mechanisms form a harmonious system
• Own end-to-end correctness, feasibility, and desirability in production, preventing edge cases, stress scenarios, and failures
• Handle feedback on quantitative behavior: Answer questions, diagnose issues, drive fixes
• Treat post-launch as ongoing design, refining models based on outcomes while prioritizing consistency

2) Cross-Functional Leadership & Execution

• Serve as product owner for complex quantitative areas
• Write clear, precise specifications for engineers
• Translate concepts for diverse audiences: Simplified models for users/partners, implementation details for engineers, risk framing for leadership
• Drive alignment: Surface concerns, address feedback, secure decisions
• Validate implementations through deep testing, focusing on edge cases, and remain accountable for correctness

3) Operational Ownership & Risk Management (Primary Focus)

• Take on-call responsibility for quantitative systems and risk-sensitive behavior
• Respond to incidents involving abnormal trading, liquidation anomalies, margin/risk issues, or extreme markets
• Make real-time decisions: Diagnose root causes, advise mitigations, balance user impact and safety
• Lead post-incident analysis: Address root causes, integrate learnings
• Proactively identify and mitigate systemic risks with teams
• Design products for operability: Observability, explainability, safe failure modes

Job Description

Kronos Research is a technology and science-driven quantitative trading firm. Driven by our core values, we risk firm capital to pursue new ideas and profit opportunities with conviction and as such, we have been at the forefront of technology and research, quickly dominating newer markets such as applying HFT/MFT to global multi-asset markets (Equity, Cryptocurrency, Commodities, Prediction Markets). We have reached milestones of trading more than $20 Billion USD in a single day alone and more than $ 5 Billion USD of average daily volume.

We are always seeking exceptional Experienced Quantitative Traders to join our existing teams and/or start new teams. If you meet the following criteria, we would love to speak with you.

Responsibilities:

• Manage and optimize portfolios, employing fully systematic quantitative strategies to achieve consistent returns.
• Develop, backtest, and implement trading strategies in the cryptocurrency markets, balancing risk and reward.
• Conduct deep analysis of crypto assets and market trends to make data-driven investment decisions.
• Collaborate with quant researchers, data scientists, and tech teams to refine strategies and improve portfolio performance.
• Monitor and manage risks associated with trading strategies to ensure alignment with firm objectives.
• Communicate portfolio performance and risk analysis to senior management and stakeholders regularly.

Qualifications:

• Exceptional educational background from a top-tier global institution (e.g., Ivy League, Oxbridge, top schools in Asia/Europe).
• Solid live trading track record of consistent returns on CEX and/or DEX
• Previous experience at a proprietary trading firm, or hedge fund is highly preferred.
• Strong proficiency in quantitative research, risk management, and statistical analysis.
• Strong programming and automation skills (Python, C++, Rust, Golang, etc.) to implement, refine and execute strategies

Preferred Skills and Experience:

• Deep understanding of the cryptocurrency landscape, including DeFi, tokenomics, and blockchain technology.
• Curious about new technologies and research papers
• Experienced in global asset classes and prediction markets (Kalshi, Polymarket)

About the Role:

As we continue to grow, Grasshopper seeks for a highly skilled Senior Quantitative Risk Analyst with experience in quant risk management to join our team. As a Senior Quantitative Risk Analyst, you will design, implement, and maintain real-time risk models that ensure robust control over market, liquidity, and execution risks across global markets. You will build VaR frameworks, perform stress testing, calibrate volatility curves, and develop market risk analytics to support scalable, automated trading strategies.

The ideal candidate brings risk assessment and management expertise in addition to a critical, quantitative, and proactive hands-on approach. You will also sculpt the tools by which to measure, handle and mitigate these risks. 

As a member of the Risk Team, you’ll:

• Work closely with trading teams, developers, and trading operation team to measure and manage risk and sculpt the future
• Cover day to day risk requests, consultations, troubleshoot issues, help trading teams, deal with brokers /exchanges, investigate strategies, monitor exposures
• Identify key risks  in algorithmic strategies, and devise risk mitigating solutions
• Lead the design and improvement of margin, stress, credit, liquidity and exposure models across asset classes
• Develop pricing, volatility and risk-sensitivity analytics for derivatives
• Convert model frameworks into robust, scalable Python code and oversee integration into production systems

We’d love for you to have:

• 6 - 8 years of institutional risk management and/or trading experience from a multi-asset proprietary trading firm, multi-strategy hedge fund, asset manager, or investment bank.
• Familiarity with exchange connectivity/trading systems
• Experience with electronic trading risk and algorithmic trading risk
• Knowledge of quantitative finance and a strong understanding of probability and statistics
• Strong academic record with a Degree (or equivalent) or concentration in a scientific and/or mathematical discipline. Experience or qualifications relating to quantitative finance are highly preferred.
• Comfortable with communicating with broad spectrum of stakeholders, including traders, technical staff, and external parties
• Experience with 3rd party risk management calculation platforms helpful (E.g. Barra, Axioma, or RiskMetrics etc)
• Knowledge of trade practice and country risk

What we offer: 

• 21 days annual leave
• An opportunity to learn from experienced professionals, fostering mentorship opportunities and personal growth
• Comprehensive Insurance Package with extended coverage for dependents
• Well stocked pantry
• Annual Dental & Wellness budget
• Gym membership
• Competitive compensation

We are hiring for one of our ecosystem projects in the digital asset space. As a Quantitative Trader in Crypto, you will develop, execute, and optimize quantitative trading strategies tailored to cryptocurrency markets. Collaborating with quantitative researchers, developers, and risk managers, you will analyze market data, implement algorithmic trading models, and manage portfolios to maximize profitability. Your ability to combine quantitative rigor with crypto market expertise will drive the firm’s success in the fast-paced digital asset space.

Key Responsibilities

• Strategy Execution: Implement and execute high-frequency quantitative trading strategies across centralized (CEX) and decentralized (DEX) exchanges, such as Binance, Uniswap, or Kraken.
• Market Analysis: Analyze real-time market data, order book dynamics, on-chain metrics, and alternative datasets to identify trading opportunities and market inefficiencies.
• Algorithmic Trading: Deploy and monitor algorithmic trading models, including market-making, arbitrage, and statistical trading strategies, optimized for crypto market conditions.
• Portfolio Management: Manage trading portfolios, optimizing capital allocation, risk exposure, and liquidity across multiple cryptocurrencies and trading venues.
• Model Collaboration: Work closely with quantitative researchers to refine, backtest, and implement trading models, ensuring seamless transition from research to production.
• Risk Management: Apply risk controls to manage market, counterparty, and operational risks, ensuring compliance with regulatory and internal frameworks.
• Performance Optimization: Contin).. Continuously optimize trading strategies and execution to improve profitability, gas efficiency, and latency in crypto markets.
• Market Research: Stay informed on cryptocurrency trends, blockchain protocols, DeFi ecosystems, and regulatory developments to adapt strategies to evolving markets.
• Performance Analysis: Monitor and analyze trading performance, P&L, and market metrics to provide actionable insights for strategy improvement.
• Automation & Tools: Utilize and enhance trading bots, APIs, and automated systems to ensure reliable and efficient trade execution.

Qualifications

• Education: Bachelor’s, Master’s, or PhD in Finance, Mathematics, Computer Science, Statistics, Physics, or a related quantitative field.
• Experience:
• 2+ years of experience in quantitative trading, preferably in cryptocurrency or high-frequency trading environments.
• Proven success in developing or executing data-driven trading strategies in crypto markets (e.g., Bitcoin, Ethereum, altcoins, DeFi tokens).
• Technical Skills:
• Strong proficiency in Python, R, or similar languages for data analysis, scripting, or trading automation.
• Familiarity with C++, Java, or Rust for collaboration with developers is a plus.
• Experience with market data APIs, order execution systems, and trading platforms (e.g., CCXT, Binance API).
• Crypto Knowledge: Deep understanding of cryptocurrency markets, blockchain technology, DeFi protocols, and market microstructure (e.g., AMMs, liquidity pools, staking).
• Analytical Skills: Exceptional ability to analyze complex datasets, identify patterns, and make rapid, data-driven decisions in volatile markets.
• Risk Management: Expertise in managing market volatility, liquidity risks, and counterparty risks specific to crypto trading.
• Communication: Strong ability to collaborate with quantitative researchers, developers, and risk managers to align on trading objectives.

Bonus Skills:

• Experience with on-chain analytics tools (e.g., Dune Analytics, Nansen, Glassnode).
• Knowledge of smart contracts, DeFi protocols (e.g., Uniswap, Curve), or layer-2 solutions.
• Familiarity with regulatory frameworks for cryptocurrencies (e.g., KYC/AML, tax compliance).
• Experience with statistical modeling or machine learning for trading applications.

We are hiring for one of our ecosystem projects in the digital asset space.As a Quantitative Researcher for Digital Assets/Crypto, you will design, develop, and implement high-frequency trading strategies tailored to cryptocurrency markets. Collaborating with quantitative developers, traders, and data scientists, you will analyze complex datasets, identify market inefficiencies, and build predictive models to optimize trading performance. Your research will directly contribute to the firm’s profitability in the rapidly growing digital asset space.

Key Responsibilities

• Design and develop quantitative trading strategies for cryptocurrencies using statistical, machine learning, and econometric methods.
• Analyze high-frequency crypto market data, including order book dynamics, on-chain metrics, and alternative datasets, to uncover trading opportunities.
• Create predictive models for price movements, volatility, liquidity, and other crypto-specific market dynamics.
• Rigorously backtest trading strategies using historical and simulated crypto market data to assess performance and robustness.
• Work closely with quantitative developers to implement research models into production-ready code for real-time trading.
• Stay informed on cryptocurrency market trends, blockchain protocols, DeFi ecosystems, and regulatory developments to inform strategy design.
• Continuously refine models and strategies to adapt to the unique volatility and liquidity characteristics of crypto markets.
• Integrate risk controls, including wallet security and counterparty risk, into models to comply with internal and regulatory standards.
• Document research methodologies, model performance, and findings clearly for team review and audit purposes.

Qualifications

• Master’s or PhD in a quantitative field such as Mathematics, Statistics, Financial Engineering, Computer Science, Physics, or a related discipline.
• 2+ years of experience in quantitative research, ideally in cryptocurrency trading, high-frequency trading, or related financial markets.
• Demonstrated success in developing trading strategies or predictive models, preferably for digital assets.
• Advanced proficiency in Python, R, or MATLAB for data analysis and modeling.
• Familiarity with C++ or other languages for collaboration with developers is a plus.
• Expertise in statistical modeling, time-series analysis, and machine learning techniques.
• Experience with crypto-specific data (e.g., order book data, on-chain analytics, DEX/CEX APIs).
• Deep understanding of cryptocurrency markets, blockchain technology, DeFi protocols, and market microstructure (e.g., AMMs, staking, liquidity pools).
• Strong problem-solving skills with the ability to derive insights from noisy and complex datasets.
• Ability to articulate complex quantitative concepts to both technical and non-technical team members.

Bonus Skills:

• Experience with alternative data sources (e.g., social sentiment, on-chain transaction data).
• Knowledge of smart contract analysis or blockchain forensics.
• Familiarity with cloud platforms (e.g., AWS, GCP) or distributed computing for large-scale data processing.