Qureos Mentor

Selby Jennings

<div>
 
 
 Infrastructure Specialist
 
 
 
 Our client is a prestigious hedge fund seeking an Infrastructure Specialist to join their ambitious trading environment. They operates at the sharp end of global markets, combining advanced technology with systematic and discretionary trading strategies. The firm has built a reputation for strong performance and a highly technical, engineering-led culture, where infrastructure is treated as a critical driver of trading success rather than a back-office function.
 
 
 They are continuing to invest heavily in their core platform, with a focus on scalability, automation, and performance across their trading and research environments. This is an opportunity to join a lean, high-impact team where engineers have real ownership, direct interaction with the business, and the ability to shape infrastructure in a fast-moving, low-latency environment.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build, scale, and support Linux-based infrastructure across trading and research environments
 </li>
 <li>
 Automate manual processes using Python / PowerShell / scripting tools
 </li>
 <li>
 Work across AWS (or similar cloud) to design and manage scalable, reliable systems
 </li>
 <li>
 Maintain and improve monitoring, performance, and system reliability
 </li>
 <li>
 Partner closely with traders, quants, and developers to troubleshoot production issues
 </li>
 <li>
 Contribute to CI/CD pipelines, infrastructure-as-code, and platform engineering initiatives
 </li>
 <li>
 Drive improvements in system performance, resilience, and operational efficiency
 
 
 </li>
 </ul>
 Key Skills
 
 
 <ul>
 <li>
 Strong Linux fundamentals (system admin, performance, troubleshooting)
 </li>
 <li>
 Scripting / automation experience (Python, Bash, PowerShell)
 </li>
 <li>
 Cloud exposure - ideally AWS (compute, networking, storage services)
 </li>
 <li>
 Experience with infrastructure-as-code (Terraform, CloudFormation or similar)
 </li>
 <li>
 Solid understanding of networking (TCP/IP, DNS, latency-sensitive systems)
 </li>
 <li>
 Experience supporting production environments (ideally high-availability / low-latency)
 
 </li>
 </ul>
 
 
</div>

Infrastructure Specialist

<div>
 
 
 Commercial Real Estate Debt Origination Associate
 
 
 
 
 Location:
 
 NYC or LA
 
 
 Experience:
 
 2-4 years
 
 
 Position Type:
 
 Full‑time
 
 
 We are working with a leading institutional investment platform to hire a
 
 Commercial Real Estate Debt Origination Associate
 
 to support the sourcing, underwriting, and execution of
 
 bridge and transitional real estate loans
 
 across major U.S. markets.
 
 
 This is a
 
 front‑office, credit‑focused role
 
 for candidates who want to deepen their experience on the
 
 principal side
 
 and gain direct exposure to
 
 loan origination and execution
 
 , working closely with senior originators and credit leadership.
 
 
 
 Role Overview
 
 
 
 The Associate will participate in the full lifecycle of real estate debt investments, including
 
 deal sourcing, underwriting, structuring, due diligence, and closing
 
 . The strategy focuses on
 
 floating‑rate, short‑ to medium‑term loans
 
 secured by
 
 value‑add or transitional commercial properties
 
 , where business plans may include lease‑up, repositioning, or recapitalization.
 
 
 Asset classes may include
 
 multifamily, industrial, office, student housing, hospitality, and select specialty assets
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Support
 
 origination and execution
 
 of senior secured bridge and transitional loans
 </li>
 <li>
 Underwrite new investment opportunities, including:
 <ul>
 <li>
 Cash flow modeling and sensitivity analysis
 </li>
 <li>
 Evaluation of sponsor experience and capitalization
 </li>
 <li>
 Market, asset, and exit analysis
 </li>
 </ul>
 </li>
 <li>
 Prepare investment committee materials, credit memos, and internal underwriting presentations
 </li>
 <li>
 Assist in structuring loan terms, including leverage, pricing, reserves, covenants, and credit enhancements
 </li>
 <li>
 Coordinate third‑party diligence (appraisals, engineering, environmental, market studies)
 </li>
 <li>
 Work cross‑functionally with legal, asset management, and portfolio management teams through closing
 </li>
 <li>
 Maintain relationships with borrowers, intermediaries, and counterparties as part of deal execution
 
 
 </li>
 </ul>
 Required Background
 
 
 <ul>
 <li>
 
 2-4 years of experience
 
 in commercial real estate lending, credit investing, or real estate banking
 </li>
 <li>
 Experience underwriting or executing
 
 bridge loans, transitional loans, value‑add financings, or construction / bridge‑to‑perm loans
 
 </li>
 <li>
 Backgrounds may include:
 <ul>
 <li>
 Real estate debt funds or private credit platforms
 </li>
 <li>
 Bank CRE origination or real estate banking groups
 </li>
 <li>
 Real estate investment banking groups with significant
 
 debt execution exposure
 
 </li>
 </ul>
 </li>
 <li>
 Strong working knowledge of:
 <ul>
 <li>
 Loan sizing, leverage, and security structures
 </li>
 <li>
 Credit metrics (DSCR, debt yield, LTV, exit analysis)
 </li>
 <li>
 Commercial real estate cash flow underwriting
 </li>
 </ul>
 </li>
 <li>
 Advanced Excel modeling skills; ARGUS experience preferred
 
 
 </li>
 </ul>
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience across multiple commercial property types
 </li>
 <li>
 Prior exposure to investment committee or credit committee processes
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Interest in long‑term growth on the
 
 credit / lending side
 
 , rather than advisory
 
 </li>
 </ul>
 
 
</div>

Originations Associate (Real Estate)

<div>
 
 
 Real Estate Asset Management Associate - Dallas, TX
 
 
 
 An established real estate investment platform is seeking an
 
 Asset Management Associate
 
 to support the oversight, performance, and strategic execution of a diversified portfolio across residential and commercial assets.
 
 
 This role offers exposure across multiple areas of the investment lifecycle, including asset management, portfolio analytics, financing, and investor reporting. The position works closely with internal investment and operations teams, as well as external partners, and provides visibility into broader fund-level activities such as capital formation and portfolio strategy.
 
 
 This is a highly collaborative environment with direct interaction with senior leadership, offering an opportunity to develop a well-rounded skillset within institutional real estate investing.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Conduct financial analysis across a portfolio of operationally intensive assets (e.g., hospitality, seniors housing, healthcare, and other commercial sectors), including:
 
 <ul>
 <li>
 Annual business plan reviews
 </li>
 <li>
 Periodic valuation analysis
 </li>
 <li>
 Ongoing asset-level performance monitoring
 </li>
 </ul>
 </li>
 <li>
 
 Partner with third-party operators, property managers, and equity partners to execute business plans and drive value creation initiatives across a range of scenarios (lease-up, redevelopment, capital improvements, competitive positioning, etc.)
 
 </li>
 <li>
 
 Perform market research and competitive analysis to inform underwriting assumptions and pricing strategies
 
 </li>
 <li>
 
 Maintain and update asset-level financial models, including historical and projected cash flows; evaluate performance under various operating and market scenarios
 
 </li>
 <li>
 
 Support development and tracking of portfolio KPIs to enhance asset-level accountability and overall portfolio returns
 
 </li>
 <li>
 
 Collaborate with investment professionals on value-add strategies, including NOI growth initiatives, capital structuring decisions, and disposition timing
 
 </li>
 <li>
 
 Interface with lenders, brokers, and external capital partners to support financing, recapitalizations, and asset sales
 
 </li>
 <li>
 
 Prepare institutional-quality reporting materials for internal stakeholders and investors on a recurring and ad hoc basis
 
 
 
 </li>
 </ul>
 Qualifications
 
 
 <ul>
 <li>
 
 ~2+ years of relevant experience in real estate asset management, portfolio management, or a related field
 
 </li>
 <li>
 
 Strong financial modeling and analytical skills, with advanced proficiency in Excel (experience with BI or data aggregation tools is a plus)
 
 </li>
 <li>
 
 Excellent communication skills, with the ability to effectively present information to senior stakeholders and external partners
 
 </li>
 <li>
 
 Detail-oriented with strong organizational and multitasking capabilities in a fast-paced environment
 
 </li>
 <li>
 
 Ability to work both independently and collaboratively across teams
 
 </li>
 <li>
 
 Willingness to travel periodically for asset and market visits
 
 </li>
 <li>
 
 Demonstrated work ethic, integrity, and receptiveness to feedback
 
 </li>
 <li>
 
 Bachelor's degree with a strong academic track record
 
 
 </li>
 </ul>
 
 
</div>

Asset Management Associate

<div>
 
 Our client a quantitative and systematic hedge fund looking for a Cloud Engineer. This role sits within a globally distributed quantitative research and engineering organisation where you will design, build, and evolve advanced cloud platforms that power large‑scale modelling, complex data analysis, and high‑throughput experimentation. You will work directly with researchers and engineers to architect bespoke cloud environments, enabling rapid iteration, secure computation, and efficient scaling across a wide range of analytical workloads.
 
 
 
 
 The ideal candidate is a highly skilled cloud engineer with deep architectural experience, a passion for automation, and a strong understanding of modern research‑driven compute environments. You be comfortable owning end‑to‑end technical decisions, and enjoy building infrastructure that directly accelerates scientific and analytical innovation. This is a high‑impact role for someone who thrives in technically demanding, fast‑moving environments.
 
 
 
 
 Responsibilities:
 
 <ul>
 <li>
 Design and deploy tailored AWS architectures that support high‑performance modelling, experimental workloads, and large‑scale compute pipelines.
 </li>
 <li>
 Collaborate closely with research, engineering, and data teams to build flexible, secure, and scalable cloud environments aligned with demanding analytical requirements.
 </li>
 <li>
 Ensure exceptional reliability, availability, and performance across compute, storage, orchestration, and monitoring layers.
 </li>
 <li>
 Automate cloud provisioning, configuration, and observability using modern IaC and DevOps practices to accelerate development cycles.
 </li>
 <li>
 Continuously refine and optimise cloud systems for scalability, cost‑efficiency, operational simplicity, and long‑term platform evolution.
 </li>
 </ul>
 
 
 
 Requirements:
 
 <ul>
 <li>
 Previous experience in cloud engineering or architecture experience with strong hands‑on expertise in AWS environments.
 </li>
 <li>
 Deep understanding of core AWS services including container orchestration, compute, storage, networking, monitoring, and identity/security services.
 </li>
 <li>
 Proven ability to design secure, resilient, and highly available cloud platforms for data‑intensive or compute‑heavy environments.
 </li>
 <li>
 Strong familiarity with DevOps and IaC tooling (e.g., Terraform), containerisation, Kubernetes, and modern cloud‑native patterns.
 </li>
 <li>
 Excellent troubleshooting, communication, and cross‑team collaboration skills, with the ability to operate confidently in fast‑paced technical environments.
 </li>
 </ul>
</div>

Cloud Engineer AWS

<div>
 
 Our client, a technology-led business with a growing engineering presence, is looking to hire a
 
 Data Engineer
 
 into a collaborative and delivery-focused team. This role sits at the centre of building the pipelines, platforms and data foundations that support analytics, modelling and wider business decision-making. It's a strong opportunity for someone who enjoys owning technical problems end-to-end, working with modern data tooling, and partnering with a range of stakeholders to turn complex data needs into reliable, scalable solutions.
 
 
 
 What you'll be doing
 
 
 <ul>
 <li>
 Design and build data pipelines that bring together information from multiple internal and external sources
 </li>
 <li>
 Develop and improve scalable data products that support analytics and evolving business needs
 </li>
 <li>
 Help ensure data is reliable, well-structured and accessible for downstream use
 </li>
 <li>
 Work closely with engineers, analysts and stakeholders to solve practical data challenges
 </li>
 <li>
 Contribute to testing, troubleshooting and the ongoing improvement of data platforms
 
 
 </li>
 </ul>
 What they're looking for
 
 
 <ul>
 <li>
 Around 3-6 years' experience in data engineering or a related role
 </li>
 <li>
 Strong hands-on skills in Python and SQL
 </li>
 <li>
 Experience building data-intensive systems and working with large-scale datasets
 </li>
 <li>
 Exposure to modern data tooling such as Airflow, Spark, Databricks, or similar platforms
 </li>
 <li>
 Familiarity with at least one major cloud environment such as AWS, Azure or GCP
 </li>
 <li>
 A strong communicator who enjoys working in a collaborative, delivery-oriented environment
 </li>
 <li>
 A degree in Computer Science or another quantitative discipline would be beneficial
 
 
 </li>
 </ul>
 Why consider it
 
 
 <ul>
 <li>
 A chance to work on meaningful data infrastructure with clear impact across the wider business
 </li>
 <li>
 Broad exposure to modern engineering practices, varied technical problems and strong stakeholder interaction
 </li>
 <li>
 A role with genuine ownership for someone who wants to combine hands-on delivery with practical business value
 
 </li>
 </ul>
 
 
</div>

Data Engineer