
Man Group · New York
About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, D...
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our
Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager
investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a
significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections
and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the
London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at
www.man.com
At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed
policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to
Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information
on how we process your data, please see the privacy notice for applicants here
The Team
Discretionary & Client Solutions Technology is ~35 engineers across London, New York, and Sofia, building the platforms that power
Man Group's discretionary investment and client facing operations. We operate at high tempo — shipping multiple production
releases weekly across portfolio analytics, fund data platforms, client reporting, data pipelines, dashboards, and AI tools.
We are one of the most active AI-adopting engineering teams in Man Group — building LLM-powered agents, research tools with vector
search, and AI integrations that our portfolio managers and analysts use daily. You'll have the opportunity to shape how AI is
integrated into investment workflows.
The Role
This is an engineering role sitting at the intersection of Man Group's Discretionary (public markets) and Solutions technology
teams in New York. You will be the primary NY-based engineer supporting portfolio managers, analysts and quants functions across
both business lines.
The role spans Python data pipelines and analytics platforms serving Discretionary investment teams — equities, credit, and
alternatives — alongside Python systems powering Solutions' fund analytics, portfolio management, and reporting infrastructure.
You'll work hands-on building and operating production systems while acting as the key technical liaison for NY-based
stakeholders.
Our Technology Stack
Key Responsibilities
Development & Delivery (70%)
managers and analysts
Stakeholder Engagement (20%)
Production Operations (10%)
incident response
Key Competencies
Essential
development and are building AI agents for our investment teams
interaction as integral to good engineering — not overhead
Advantageous
and navigate the codebase is valuable
The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a
discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this
posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the
applicant. The Firm reserves the right to modify this pay range at any time.
US Pay Range
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our
success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external
and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an
inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through
professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual
'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability
coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy
additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed,
national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military
or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local
laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply
for roles with us, please contact TalentAcquisition@man.com.
The Firm XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role The OTC Trading Development team is currently looking to hire an experienced developer focused on trading system development. The Team: * Architects, implements and maintains a diverse set of trading systems: whilst ETFs will be the immediate focus for this position, the team works to build a wide range of systems which span prop trading on venue and OTC liquidity provision platforms across other asset classes (primarily Equities, FX and Crypto). * Receives reference implementations of models from quants, hard control requirements from Risk and Compliance, and system ergonomics requests from Trading Analysts, often working closely with those teams to find the best direction. * Is highly autonomous in how we work, maximising safety and velocity. We build and maintain multiple trading systems with a fraction of the headcount of our competitors, so it's critical we can eliminate bureaucracy. * This will be the team’s first hire in New York. This role will involve working on our ETF trading system. The role will require close platform with stakeholders to the system in NYC e.g. Business Development, as well as with OTC’s developers in London. * There are no out-of-hours support responsibilities involved in this role. * There may be an occasional requirement for travel to our London offices. The Technology: * Consists of high-performance trading venue integrations, fair value generation, trading algorithms, risk controls and real time UIs implemented from business requirements. * Is predominantly implemented in Kotlin, with limited amounts of C++. Older parts of the codebase may use Python or Java; this is a decreasing minority. * Is tailored to a wide range of latency and throughput requirements. Where necessary we use a thread-per-core architecture, implement large parts of the network stack and integrate with network card APIs directly. Attributes Someone that would be an excellent fit: * Is an experienced coder, with a solid understanding of Computer Science fundamentals. * Has several years of experience working in Kotlin or other object-oriented languages like Java, C++, or C#. * Knows how to build technology quickly and safely using a variety of testing methods. * Unblocks the team with code reviews that prioritise correctness over style preferences. * Has experience in systems with requirements of microseconds per request or gigabits per second per thread. * A well-founded understanding of ETFs is desirable, though we are open to candidates with any domain knowledge, experience or evidence of interest within finance. Benefits * Extensive medical and wellness benefits including gym membership. * Breakfast and lunch provided daily. * Beautiful Hudson Yards office. * 25 days paid holiday per year + statutory holiday and paid sick days. * Generous 401k contributions. * We work 4 days per week in the office, 1 from home unless stated otherwise. The base salary range for this role is between $200,000 to $300,000 depending on relevant job-related skills and experience. You will be eligible for participation in a discretionary annual performance bonus scheme and will enjoy a comprehensive package of benefits. All bonuses, benefits, and any sign-on payments are in addition to the base salary range stated.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: * The successful candidate will join the Production Management team based in New York, providing high-touch support to the QRT trading desks and Risk managers with a dedicated focus on Risk and PnL systems. * QRT trades across all major EMEA and US markets, and this role sits at the intersection of technology and front office operations. * You will be the primary point of contact for the investigation and resolution of issues impacting real-time risk monitoring, daily PnL figures, and trade / positions reconciliation. * You will work closely with traders, quants, and finance teams to ensure the integrity and availability of risk and PnL data throughout the trading day and at end of day. You will also liaise with internal development, quant research, and external counterparties to maintain a stable and accurate production environment. Your present skillset: * Real-time risk support: Monitor and support intraday risk systems, ensuring live Greeks, exposure, and limit utilisation data are accurate and available to the front office throughout the trading day * PnL production and reconciliation: Own the end-of-day PnL process, including identification and resolution of breaks between trader flash PnL and official finance PnL * Trade and position reconciliation: Investigate and resolve position breaks between internal systems, prime brokers, and exchange/clearing houses * Market data integrity: Ensure pricing and reference data feeds (EOD prices, vol surfaces, yield curves) used in risk and PnL calculations are correct and complete * Explain PnL attribution: Work with traders and quants to explain PnL moves by decomposing into risk factors (delta, gamma, vega, theta, etc.) * System availability: Ensure all risk and PnL components are operational before the start of each trading session; manage morning health checks and sign-off processes * Incident management: Lead investigation and resolution of risk or PnL discrepancies, communicating clearly with traders and senior management under time pressure * Process improvement: Develop scripts and tools to automate reconciliation, monitoring, and alerting workflows to reduce manual effort and improve accuracy * Release management: Support the deployment of risk system and PnL platform releases, validating output integrity before and after changes * Evening/weekend support: Provide on-call coverage for critical end-of-day and start-of-day processes, normally via remote access Essential * Minimum 2 years in a risk, PnL, or quantitative support role within a trading firm, hedge fund, or investment bank * Strong understanding of risk metrics: delta, gamma, vega, theta, DV01, and portfolio-level exposure aggregation * Hands-on experience with PnL production workflows, including flash vs. official PnL reconciliation and attribution * Familiarity with financial instruments across at least two asset classes (Equities, Futures, Commodities, FX, Fixed Income) * Strong relational database skills – able to query and investigate data independently (SQL Server or Postgres preferred) * ~1 year of scripting experience in Python, Bash, or PowerShell for automation and investigation tooling * Excellent analytical and problem-solving skills with a methodical approach to root cause analysis * Strong written and oral communication skills – able to explain technical issues clearly to traders and senior stakeholders * High sense of ownership: proactive in following issues through to resolution without being chased Base salary range for this position is $150,000 to $220,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.
Who We Are As the European servicing hub of the internationally renowned TransMarket Group (TMG), Oryctérope Transalpin creates, develops, and improves proprietary trading strategies in order to capture opportunities and manage risk in the most competitive financial markets around the world. Working at the intersection of finance, mathematics, and technology, we develop our edge through expertise in quantitative research, algorithms, and infrastructure to produce systematic trading solutions which contribute significant liquidity across global markets to facilitate price discovery and risk transfer. Our structured employee training and development proves we value our people and provide continuous support to succeed at all levels in their careers. Our superior results are achieved by the collaborative and entrepreneurial nature of our teams and the discipline and patience to relentlessly advance our business and improve our expertise. Responsibilities * Work with teammates to assist and learn all facets of automated trading. * Develop expertise in market microstructure, tick data, and automated trading systems. * Build and maintain quantitative trading models, tools, and analytics. * Develop, implement, maintain, and support production-quality automated trading strategies. REQUIREMENTS * Strong work ethic and willingness to do what it takes to get the job done. * Passion for math and software applied to markets and trading. * Demonstrate expertise in computing, math, probability, statistics, and finance. Candidates without a graduate school level math background will not be considered. * Programming proficiency and experience (C++, C#, Python, R). Linux scripting is a plus. * Excellent verbal and written communication skills. * Ability to work within a team in a fast-paced environment. * MS or PhD in a technical field or pertinent industry experience.