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Position: Corporate Credit Funds Research  – Associate Director (NY)

Entity: Kroll Bond Rating Agency, LLC

Employment Type: Full-Time

Location: New York, NY

Summary/Overview

KBRA is seeking an Associate Director to join its Corporate Credit Funds Research Group, a highly visible and interconnected team responsible for producing market-facing, data-driven research focused on the private credit ecosystem. The role sits at the center of KBRA’s proprietary data ecosystem and focuses on translating complex datasets into credit-oriented insights for investors, issuers, fund managers, bankers, and internal stakeholders.

About the Job

• Develop research in collaboration with sector experts, leveraging years of proprietary data, including:
  • Corporate research that leverages KBRA’s access to financial statements, lender investment memoranda, and credit agreements for more than 5,300 sponsor-backed middle market companies.
  • Fund research derived from rated note feeders, collateralized fund obligations, private equity net asset value loans, and asset-based finance reporting and performance.
  • Structured credit research, including analysis of collateralized loan obligations (CLOs) and related structured products.
• Develop a deep understanding of the key drivers of credit performance, including how private markets function, risk dynamics, and return generation.
• Collaborate with senior members across the firm on research, database development, and analysis.
• Participate in diligence meetings with fund management teams to understand key themes and risks emerging in private markets.
• Lead the development of thematic, market-facing research pieces that shape external perspectives on private markets.
• Track defaults and recoveries, and research the underlying drivers.
• Write quarterly reports on corporate credit, structured credit, and fund-related topics, as well as intermittent updates based on recent trends or news.
• Develop presentations used internally and for public conferences.

You will be successful in this role if you have

• A keen curiosity about private markets and credit with a demonstrated capability and willingness to learn.
• Attention to detail.
• Demonstrated initiative to explore ideas and develop original, defensible, data-driven views that can be synthesized into public papers.
• Strong understanding of either corporate, fund, or structured credit analysis.
• Strong writing skills.
• Familiarity with generative AI tools (e.g., ChatGPT). Coding or programming experience is a plus.
• [] ([]) or more years of experience in credit, research, banking, journalism, investing, or structured finance.
• A bachelor’s degree.

Salary Range:

The anticipated annual base salary range for this full-time position is $120,000 to $150,000. Offer amounts are determined by factors such as experience, skills, geography, and other job-related factors.

Benefits:

• A hybrid work schedule (Tuesday, Wednesday and Thursdays in the office)
• Competitive benefits and paid time off
• Paid family and disability leave
• 401(k) plan, including employer match (100% vested)
• Educational and professional development financial assistance
• Employee referral bonus program

About Us

Kroll Bond Rating Agency, LLC (KBRA) is a full-service credit rating agency registered with the U.S. Securities and Exchange Commission as an NRSRO. Kroll Bond Rating Agency Europe Limited is registered as a CRA with the European Securities and Markets Authority. Kroll Bond Rating Agency UK Limited is registered as a CRA with the UK Financial Conduct Authority pursuant to the Temporary Registration Regime. In addition, KBRA is designated as a designated rating organization by the Ontario Securities Commission for issuers of asset-backed securities to file a short form prospectus or shelf prospectus. KBRA is also recognized by the National Association of Insurance Commissioners as a Credit Rating Provider.

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About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

We’re looking for Applied Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.

Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:

World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.

Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.

Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.

Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.

Key Responsibilities

• Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
• Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
• Develop Geometric Foundation Modelsfor 3D spatial understanding in dynamic, real-world environments.
• Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
• Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
• Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance

What You’ll Bring

Must-haves:

• 3+ years of experience developing and deploying ML systems in real-world or production settings

• PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field

• Deep expertise in one or more core Embodied AI areas, such as:

  • Foundation models (e.g., transformers, MoE, large-scale training)
  • Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
  • Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
  • Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)

• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

• Strong programming skills in Python, with experience using frameworks such as PyTorch

• A data-centric mindset, with experience working on large-scale datasets and evaluation

• Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams

Nice-to-haves:

• Experience in autonomous driving, robotics, or simulation systems
• Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
• Experience with sim-to-real transfer or data-efficient learning
• Contributions to open-source ML tools or research infrastructure

What we offer you

• Attractive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

This is a full-time role based in our office in Vancouver. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cyber security SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

We’re looking for a Staff AI Data Scientist to design, build, and deploy machine learning models and AI-driven solutions that solve complex business problems. You’ll work at the intersection of applied research, software engineering, and product — turning raw data into actionable insights and intelligent systems that ship to production.

What You’ll Do

• Develop and deploy machine learning models (supervised, unsupervised, deep learning) for production use cases
• Design experiments, define success metrics, and run rigorous offline and online evaluations (A/B tests, holdouts, causal analyses)
• Fine-tune, prompt-engineer, and evaluate large language models for domain-specific tasks
• Partner with data engineering to define the features, datasets, and pipelines needed for model training and inference
• Collaborate with engineering, product, and business teams to translate ambiguous problems into well-scoped modeling solutions
• Build monitoring and evaluation frameworks to track model performance, drift, and fairness over time
• Communicate findings and recommendations to both technical and non-technical stakeholders through clear visualizations and written reports
• Mentor other data scientists and help raise the bar for modeling rigor across the team

What You’ll Bring

• Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience)
• 3+ years of hands-on experience building and deploying ML models in production environments
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers
• Deep understanding of statistical modeling, experimental design, and evaluation methodology
• Experience with cloud platforms (AWS, GCP, or Azure) for training, serving, and scaling models
• Familiarity with LLM fine-tuning techniques (LoRA, RLHF, instruction tuning) and serving infrastructure
• Experience leveraging AI coding assistants (such as Claude Code, OpenCode, or GitHub Copilot) to accelerate development workflows

Nice To Have

• Background in cybersecurity, identity security, or anomaly detection
• Familiarity with adversarial ML or AI safety research
• Contributions to open-source projects or published research

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com.

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Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends.

We're transforming the grocery industryAt Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together.

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Senior Threat Intelligence Researcher, you’ll lead deep-dive investigations into both emerging & known threats, while maintaining a vigilant watch over malware developments to ensure defenses remain a step ahead of evolving attack methods. You’ll put into use your ability to synthesize complex data into actionable intelligence, and to provide senior management with the clear briefings necessary to understand and mitigate potential risks. Furthermore, you’ll be expected to develop refined hunting strategies (to adapt to and anticipate shifts in threat actor tactics & techniques), and to track adversary infrastructure, effectively counteracting shifts in threat actor tactics through detail-oriented investigation.

What Will You Do?

Primary responsibilities include:

• Drive External Threat Research: Triage and evaluate findings from OSINT andlead in-depth investigations into emerging threats. Systematically evaluate signals from the global OSINT community and dark web forums to determine their fidelity, relevance, and impact.
• Synthesize Actionable Intelligence: Transform raw data from dark web forums, leak sites, and research repositories into high-level threat briefings and risk assessments for senior stakeholders.
• Adversary Knowledge Management: Curate and expand our internal Knowledge Base and IOCs collections.
• Track Actor Tradecraft (TTPs): Monitor adversary behaviors across the open and deep web to identify shifts in recruitment, target selection and shifting of operations.
• Pivot Across Infrastructure: Identify and map threat actor footprints by pivoting through domain registrations, SSL certificates, passive DNS.
• Bridge Intelligence Gaps: Collaborate closely with Detection Engineering to translate validated OSINT findings into durable hunting logic.
• Develop OSINT Tooling: Build and automate scrapers, monitors, and data-visualization tools to identify anomalies and track threats in external telemetry.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Must haves

  • A Threat Intelligence / Threat hunting background.
  • Knowledge of the cyber threat landscape, including actors and TTPs.
  • Strong analytical skills, with the ability to identify patterns and trends in large datasets.
  • Programming skills in python and knowledge of databases (SQL, noSQL)
  • Strong knowledge of YARA to track new malware families and knowledge on validation best practices.
  • Knowledge of MITRE ATT&CK, CISA KEV, EPSS, AMITT, MISP Galaxy.

• Strongly preferred

  • Knowledge of malware analysis tools and techniques, including static and dynamic analysis, sandboxing, and debugging.
  • Technical writing & content development skills.

• Nice to have

  • Understanding software vulnerabilities, and ability to implement hunting strategies to track and discover them.
  • Knowledge about internal working of EDR products.
  • Relevant certifications, such as Certified Malware Analyst (CMA), Certified Reverse Engineering Analyst (CREA), or GIAC Certified Malware Reverse Engineer (GREM)

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Permanent-fulltime collaboration (UoP)

• Flexible working hours, this is a 100% remote role based within Poland; we provide optional membership in major co-working spaces

  • Currently for this role in Poland we are able to consider only candidates that are already eligible to work in the EU at the time of applying
  • Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying

• Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly

• Yearly bonus depending on the performance of the company, paid out in 2 installments

• LuxMed, Life Insurance, Disability Insurance, PPK (4% employer contribution)

• Flexible time off (up to 30 paid days off per annum!)

• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)

• Monthly Wellness Allowance

• Monthly Working from Home allowance

• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave

• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)

• LinkedIn Learning platform for Hard/Soft skills Training & Support for your further educational activities/trainings

• Above-standard referral bonus

& Aditional Country-specific Benefits & Allowances To Poland

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.

Senior Research Manager (Qualitative) This is a role open to candidates located in the UK.

At Claritev, our mission is to simplify healthcare workflows, improve transparency, and bend the healthcare cost curve. We believe that data, technology, and AI can fundamentally transform how healthcare operates...

At Claritev, our mission is to simplify healthcare workflows, improve transparency, and bend the healthcare cost curve. We believe that data, technology, and AI can fundamentally transform how healthcare operates...