Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python · vLLM · SGLang · TensorRT-LLM · PyTorch · CUDA-adjacent tooling · Kubernetes · gRPC · ClickHouse · PostgreSQL · GCP Pub/Sub · AWS / GCP / Azure · GitLab CI · ArgoCD · Prometheus · Grafana · Loki · Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

What You’ll Do

• Design, develop and evolve our AWS-based database deployments with a focus on scaling and automation
• Take ownership of database performance - pro-actively identify bottlenecks, improve configurations and work with other engineering teams to tune applications
• Design, develop and test backup and disaster recovery processes to ensure they are robust and reproducible
• Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns with best practices and long-term platform goals.
• Promote engineering excellence and contribute to team knowledge sharing and process improvements.

Who You Are

• 3+ years of hands-on experience building and managing database infrastructure in AWS (Aurora MySQl, Aurora Postgres, DynamoDB, Lambda, KMS, IAM and related services).
• Deep understanding of SQL, as well as MySQL and/or PostgresQL specific features
• Ability to design and implement lightweight scripts / glue code in bash, python or go
• Additional experience with Metabase, Opensearch or MongoDB Atlas is beneficial.
• Expertise in Docker, Kubernetes, and Infrastructure as Code (Terraform).
• Proven experience deploying, maintaining, and scaling critical cloud infrastructure components in production environments.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify 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.

Job Title: Hardware Design Engineer

Reports to: Director of Hardware Engineering

Department: Engineering

💼 About the role

We’re seeking an experienced hardware design engineer to expand our cryptographic hardware IP team. You would be joining a mature design team with a proven track record of delivering market leading cryptographic IP, your role would expose you to the latest cryptographic standards and allow you to develop for the latest technologies.

We hope that you have at least 5 years of experience working on hardware design of complex IPs targeted at deployment on latest generation FPGAs, preferably with some experience working with cryptographic and security IPs.

 We have been established since 2018, so you would be directly working with the founders and inventors of this deep tech startup. The technology is already a couple of years in the making, its feasibility having been established, funding secured, and it has a clear path to market. This is a great opportunity for career progression and to get a head start in a rapidly expanding segment of the technology industry.

⚒️ What you’ll be doing

• Design and implementation of hardware IP blocks and subsystems.
• Tailoring implementations to FPGAs
• Working with verification engineers to create verification and test plans.
• Creation of reliable, reusable and excellently structured hardware design flows.
• Providing feedback to architects on feasibility of implementation and specification quality.
• Ensuring clean lint and implementation reports for IP blocks and subsystems.

🎯 Required Skills And Qualifications

• A commitment to high quality engineering in all areas of their work, including advocating for the best long-term solutions over the easiest or quickest.
• Optimising designs for both area and performance in FPGA technologies.  
• Experience building hardware IP blocks from scratch, and owning the process from initial specification through to customer delivery.
• Confidence bringing up a design using a basic “designers testbench”.
• Experience with standard commercial EDA Design tooling flows.
• Knowledge of common bus protocols (e.g. AMBA AXI4, AHB).
• Experience building and simulating hardware/software co-designs.
• Confidence in debugging RTL simulations issues.
• Degree or equivalent in Electronics/Computer Science or other related discipline.

🖥️ Specific Technologies You Are Confident Using

• FPGA and emulation experience. We use Xilinx FPGAs extensively for prototyping and hardware/firmware co-development.
• Logical IP design using SystemVerilog.
• Version control using Git.
• Writing System and subsystem level tests in C, using CMake as a build system.
• Confidence using tools like Bash, TCL, CMake and Makefiles safely and sensibly.

👍 Preferred Skills And Qualifications

• Python scripting for flows and automation 
• Experience debugging gate level simulations.
• Knowledge of Industry standard SoC Security Architectures
• Knowledge of tamper resistance and/or power side-channel security countermeasures.
• Experience using Gitlab CI, or otherwise principles of continuous integration and testing.

🏆 Some of the perks of working with us:

• Unparalleled opportunities to learn and accelerated career development.
• A collaborative, team environment with people who truly love what they do.
• Competitive salary and share option scheme.
• Flexible and hybrid working, and a working from home budget.
• Private health insurance for yourself and your family.
• 25 days annual leave (plus bank holidays and two wellness weeks).
• 50% gym membership discount.
• The chance to work with a spirited, smart, and friendly team!

Interested? Apply today to be part of the future of secure hardware! 🚀

Your mission

At Bitpanda, we're building a powerful system that handles prices and risk management for various types of investments like stocks, crypto, ETFs, metals, and fiat currencies. You’ll help add new assets to our platform, work with new exchanges, and create tools like price charts and systems for crypto products with leverage. This is a key role where you'll help us build the technology that makes trading and investing in different assets fast, reliable, and easy to use for everyone.

What you’ll do 

• Drive core technical decisions that shape our architecture, engineering practices, and long-term team vision
• Build high-performance, scalable backend systems using Python that power Bitpanda’s core trading infrastructure
• Design and maintain clean, testable, and maintainable code across a robust microservice ecosystem
• Lead the evolution of our event-driven architecture, helping scale systems for future growth
• Tackle complex, cross-domain challenges in pricing, hedging, and asset management across crypto, stocks, metals, and more
• Work in a high-impact environment where your code directly supports critical business functions across the company

Who you are

• Strong hands on Python development experience in product-driven environments, building real-world, scalable systems that solve big problems
• A deep understanding of RESTful APIs and websockets, with the ability to design fast, reliable, and clean APIs using FastAPI
• Experience working with relational and NoSQL databases, always keeping performance and scalability top of mind
• Strong leadership skills to drive technical initiatives, influence the team’s direction, and guide key architectural decisions
• Hands-on experience with event-driven architectures, and message brokers like Kafka or ZeroMQ — you know how to keep data flowing seamlessly
• Bonus points if you’ve worked with AWS, have an interest in crypto, blockchain, or stock markets

**We offer a comprehensive relocation package to support candidates who are moving to join our team. Our goal is to make your transition as smooth as possible, and we provide assistance throughout the whole process.

Your mission

Join our Group Risk Management Team as a Financial Risk Manager, focusing on the identification, assessment, and monitoring of credit, liquidity, and market risk. In this role, you will sit at the intersection of Traditional Finance (TradFi) and digital assets, acting as the primary risk owner for our Real Stocks and Commodities products, and leading the risk oversight for future securities-related launches.

Reporting to the FRM Lead, you will be responsible for operating and optimizing Bitpanda’s Financial Risk Management (FRM) models. You will use your quantitative background and traditional market expertise to provide data-driven risk assessments, acting as a key advisor to our business and trading operations.

What you'll do 

• Serve as the dedicated risk owner for TradFi asset classes, specifically Real Stocks, ETFs, and Commodities.
• Develop, maintain, and optimize FRM models to establish risk limits and monitor global exposure across our multi-asset platform.
• Analyze and mitigate complex cross-asset risks, including the management of liquidity drag between T+2 TradFi settlement cycles and 24/7 crypto operations.
• Advise product and business owners on risk identification and mitigation strategies, providing the quantitative analysis required for executive-level decision-making.
• Act as the main point of contact for Bitpanda’s operational teams and trading desk, ensuring risk frameworks are integrated efficiently alongside fast-paced product delivery.

Who you are

• Strong professional background in traditional financial markets (Stocks, ETFs, Commodities), with a clear understanding of market structures, settlement cycles, and traditional risk dynamics.
• Advanced Python programming skills for developing and maintaining risk models, paired with a working knowledge of SQL for data manipulation.
• Previous experience in risk management within a brokerage, investment bank, or scaling fintech, with a core focus on market, credit, or liquidity risk.
• Direct experience building or managing risk frameworks for Margin Trading or leveraged stock products is highly desirable.
• Ability to work autonomously in a fast-paced environment and take end-to-end ownership of complex quantitative tasks.

Hardware Verification Engineer

Reports to: Lead Hardware Verification Engineer

Department: Engineering

Please note we can hire you in the following locations; UK, Germany, France, Belgium, Austria, Netherlands, Spain. 

If you are not based in one of these countries then we are unable to move forward with your application. 

💼 About the role

We’re seeking a Hardware Verification Engineer who thrives on solving hard problems, building tools that make life easier for others, and driving verification with both rigor and creativity. This is not a checkbox role — we want someone who is hands-on, curious, and motivated to go beyond the obvious.

The ideal candidate will have a strong background in software development, cryptography, and secure product development, with a focus on delivering secure, high-performance, and efficient products.

We have been established since 2018, so you would be directly working with the founders and inventors of this deep tech startup. The technology is already a couple of years in the making, its feasibility having been established, funding secured, and it has a clear path to market. This is a great opportunity for career progression and to get a head start in a rapidly expanding segment of the technology industry.

⚒️ What you’ll be doing

You'll be a part of a team verifying security-critical designs where thoroughness is everything. On a daily basis, you will:

• Build and extend UVM testbenches to verify cryptographic IPs and subsystems.
• Develop Python-based tools and automation to improve verification productivity.
• Use formal verification creatively, writing properties beyond canned apps to prove tricky scenarios.
• Debug at every level - from low-level waveforms to algorithmic mismatches.
• Collaborate with design, software, and architecture teams to ensure real-world use cases are covered.
• Approach designs with a "break it to make it" mindset, thinking like an attacher to expose weaknesses.

Key Job Functions

Beyond hands-on verification, you will also:

• Influence and define methodologies and strategies for design verification.
• Develop testbench architectures using UVM and formal-based approaches.
• Define verification plans, functional coverage models, and test strategies for block and subsystem verification.
• Lead verification at IP or SoC level, including effort estimation, scheduling, task assignment, and reporting progress to management.
• Drive coverage closure and sign-off quality across complex designs.
• Mentor junior engineers and help raise the team’s overall capability.

🎯 Required Skills And Qualifications

Preferred:

• Strong background in UVM-based verification at IP and subsystem levels.
• Proficiency in Python for tool development and automations.
• Practical formal verification experience, beyond app-based use.
• Knowledge of cryptographic algorithms (AES, SHA< ECC, etc.) and hardware/software security concepts.
• Software-oriented thinking (C/C++ or scripting languages) for HW/SW co-verification.
• Demonstrated leadership in planning and executing verification projects.
• Self-driven, resourceful, and persistent when solving tough technical challenges.
• Excellent debugging and problem solving skills with strong attention to detail.

🏆 Some of the perks of working with us:

• Unparalleled opportunities to learn and accelerated career development.
• A collaborative, team environment with people who truly love what they do.
• Competitive salary and share option scheme.
• Flexible and hybrid working, and a working from home budget.
• Private health insurance for yourself and your family.
• 25 days annual leave (plus bank holidays and two wellness weeks).
• 50% gym membership discount.
• The chance to work with a spirited, smart, and friendly team!

Interested? Apply today to be part of the future of secure hardware! 🚀

ROLE OVERVIEW

Quantitative Engineer

We are seeking a Quantitative Engineer to help build and enhance our research infrastructure and improve our existing suite of models. The ideal candidate is a mid-level engineer with extensive software development experience in a highly data-driven industry such as finance, technology, or machine learning. The ability to collaborate across teams and support multiple projects is essential.

RESPONSIBILITIES

• Design scalable systems to support Massar’s quantitative research program.
• Develop high-performance platforms for quantitative research.
• Write comprehensive documentation and conduct code reviews.
• Promote and uphold firm-wide best coding practices.

REQUIREMENTS

• Degree in computer science or a related field.
• Development experience with AWS or other cloud providers.
• 2+ years of Python experience, including proficiency with libraries such as NumPy, Pandas, PyTorch and TensorFlow.
• Excellent communication skills, self-starter, quick learner, positive attitude, and team player
• Experience in at least one of the following areas:
• Econometrics, factor analyses, or automated trading.
• Weather data modeling.
• Machine learning techniques, such as neural networks.
• Robotics and/or sensor networks.
• Other high-dimensional, computationally intensive data problems. 

COMPENSATION

The all-inclusive salary for this position STARTS at EUR 95.000,00. Competitive and performance-based compensation package, depending upon qualifications.

About the Role: 

As a Senior Software Engineer on the Calibration and Validation (CalVal) team, you will be a key contributor to the integrity and evolution of our geometric models. You will design and implement the automated, scalable processes required to ensure our products consistently exceed rigorous geometric specifications and SLAs. You will develop photogrammetric models, error budgets, and calibration concepts for our high-resolution and next-generation monitoring programs, ensuring spatial integrity across diverse fleets. Additionally, you will drive ongoing performance characterization and serve as a lead investigator for complex image quality issues—troubleshooting sensor models and geometric anomalies to architect the long-term fixes that maintain Planet's high standard of spatial data.

This is a full-time, remote position based in Austria. If located near an office, you are expected to work from that office 3 days per week.

Impact You’ll Own:

• Perform ongoing space imaging operations, geometric calibration activities and performance characterization
• Design and implement automated scalable processes to calibrate hundreds to satellites to ensure that our products meet and exceed specifications and SLAs
• Collaborate within a cross functional team to develop performance models, error budgets and calibration concepts for new very high resolution constellation
• Troubleshoot geometric image quality issues and developing long-term mitigations and fixes

What You Bring:

• 10+ years of industry experience with statistical processing and analysis techniques of large sets of measurement data
• Bachelor’s degree in Photogrammetry, Engineering, Physics, or Mathematics, relevant to geometric characterization of space imaging platforms
• Hands-on, can-do attitude, great interpersonal skills, and ability to collaborate effectively
• Understanding of end-to-end image processing chain – from sensor electronics and image ancillary data to geometric characterization
• Passion for Programming, Photography, Remote Sensing, Earth Sciences, and Geography
• Extensive experience leveraging scientific computing using Python in a Unix/Linux environment
• Knowledge of how to scale code with cloud computing resources, e.g. AWS or GCP
• Practical experience in solving problems by exploiting large cloud-based datasets

What Makes You Stand Out:

• 5+ years remote sensing experience + track record of software automation of analysis of imagery/maps
• Master’s degree or PhD in a relevant scientific/engineering field
• Hands-on experience with calibrating and operating very high resolution optical satellites
• Familiarity with design and construction of imaging/capture/camera hardware
• Active contribution to open source projects

Application Deadline:

June 11, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

#LI-REMOTE

ROLE OVERVIEW

Quantitative Researcher | Vienna, Austria

We are seeking an experienced Quantitative Researcher to research predictive models and improve our existing suite of models. The ideal candidate will be a mid-to-senior level professional with previous experience in quantitative modeling. Experience working with futures or equity markets is required. Prior experience leading a team of researchers is a plus.

RESPONSIBILITIES

• Research and analyze market data to identify patterns and opportunities.
• Develop, evaluate, and enhance existing quantitative models.
• Collaborate with traders and other researchers to refine the models.

REQUIREMENTS

• Graduate degree in computer science, mathematics, physics, engineering, or a related quantitative field from a top university.
• Proficiency in Python, MATLAB, or R.
• Strong understanding of futures markets.
• Excellent communication skills, a self-starter mentality, and the ability to quickly learn and adapt.
• Strong analytical skills, a team-oriented mindset, and a positive attitude.
• Management experience is a plus.

COMPENSATION

The all-inclusive salary for this position STARTS at EUR 95.000,00. Competitive and performance-based compensation package, depending upon qualifications. 

Role Overview

The successful Software Engineer will have a passion not only for developing quantitate applications but also have a passion for building out front-end applications and working with large, financial datasets. Frequent interaction with quants, and senior management will be required so communication and collaboration skills are essential. The ideal candidate will be a mid-level professional.

Requirements

• 3+ years development experience in enterprise class software solutions
• 2+ years working with C++
• Strong object-oriented design skills
• Hands-on experience with data-intensive applications that incorporate large datasets and multiple data sources
• Experience with test- driven development
• Experience working in Unix/Linux environments, practical experience in debugging
• Familiarity with mathematically intensive applications such as statistics, time series analysis, and optimization
• Practical exposure to python, in both system and application-level development
• Familiar with python data science modules
• Team player and able to work under pressure and tight schedule
• Strong communications and interpersonal skills

In addition, preference will be given to candidates with:

• 2+ years of software development experience in finance and/or investment management industry
• Advanced degree in a quantitative discipline (math, statistics, physics, computer science, financial engineering, etc.) or finance/economics
• Hands on experience with large, financial databases (Reuters, MarketQA, Capital IQ, etc.)
• Practical data modeling and database design experience
• Familiarity with concurrent systems optimizing response time
• Working knowledge of basic statistical and econometric methods
• Working experience analyzing large financial datasets using statistical tools (Python, Matlab, C++)

Additional Information

• Location : Vienna, Austria
• Start date : Flexible
• Wage : Competitive (Minimum annual gross salary : 95,000 EUR plus bonus)

ROLE OVERVIEW

Metals Analyst | Vienna, Austria

We are seeking a Metals Analyst to research fundamental supply and demand drivers in base and precious metals markets. The ideal candidate will be a junior to mid-level professional with previous experience in metals. Experience working with commodity markets is a plus but not a requirement. Prior exposure to coding and data analysis is a plus.

RESPONSIBILITIES

• Conduct in-depth fundamental analysis of metals markets (e.g., copper, aluminum, gold, etc.), including global supply/demand dynamics, mining/production trends, inventories, and trade flows.
• Build and maintain detailed supply/demand models, price forecasts, and scenario analyses to generate actionable trade ideas.
• Collaborate with traders and other researchers to refine the models.

REQUIREMENTS

• Graduate degree in metallurgy, materials sciences and engineering, production engineering or a related field from a top university.
• Strong understanding of commodity markets.
• Excellent quantitative and modeling skills (Excel advanced; Python/R/SQL a plus).
• Excellent communication skills, a self-starter mentality, and the ability to quickly learn and adapt.
• Ability to work in a fast-paced environment with strong attention to detail.

COMPENSATION

The all-inclusive salary for this position STARTS at EUR 95.000,00. Competitive and performance-based compensation package, depending upon qualifications.

ROLE OVERVIEW

Quantitative Commodity Researcher | Vienna, Austria 

We are seeking an experienced Quantitative Commodity Researcher to research predictive models and improve our existing suite of models. The ideal candidate will be a mid-to-senior level professional with previous experience in quantitative modeling. Experience working with commodity markets is required. Prior experience leading a team of researchers is a plus.

RESPONSIBILITIES

• Research and analyze market data to identify patterns and opportunities.
• Develop, evaluate, and enhance existing quantitative models.
• Collaborate with traders and other researchers to refine the models.

REQUIREMENTS

• Graduate degree in computer science, mathematics, physics, engineering, or a related quantitative field from a top university.
• Proficiency in Python, MATLAB, or R.
• Strong understanding of commodity markets.
• Excellent communication skills, a self-starter mentality, and the ability to quickly learn and adapt.
• Strong analytical skills, a team-oriented mindset, and a positive attitude.
• Management experience is a plus.

COMPENSATION

The all-inclusive salary for this position STARTS at EUR 95.000,00. Competitive and performance-based compensation package, depending upon qualifications. 

ROLE OVERVIEW

Quantitative Volatility Researcher | Vienna, Austria 

We are seeking a Quantitative Researcher specializing in Volatility to research alphas and improve our existing suite of models. The role involves building and testing volatility strategies, creating analytical and risk management tools, conducting in-depth market analysis, and collaborating closely with team members on research and portfolio risk. The ideal candidate is a mid-level professional with 2+ years of experience in volatility research and quantitative modeling. While candidates with experience across all underlying asset classes will be considered, there is a particular interest in equity or commodity volatility. Strong communication skills are essential, as the role involves daily interaction with both team members and senior management.

RESPONSIBILITIES

• Research and analyze volatility data to identify trading opportunities.
• Develop, deploy, and monitor quantitative models used in financial markets.
• Evaluate and enhance the performance of existing quantitative models.
• Generate and explore new research ideas.
• Promote and uphold firm-wide best coding practices.

REQUIREMENTS

• Graduate degree in computer science, mathematics, physics, engineering, finance, economics or a related quantitative field from a top university.
• Proficiency in Python or another comparable programming language.
• Strong understanding of financial markets, with specific exposure to volatility strategies.
• Excellent communication skills, with a self-starter mindset, eagerness to learn, and a collaborative spirit.
• Strong analytical and problem-solving skills.

COMPENSATION

The all-inclusive salary for this position STARTS at EUR 95.000,00. Competitive and performance-based compensation package, depending upon qualifications. 

ROLE OVERVIEW

Student Analyst | Vienna, Austria 

The Student Analyst rotational program provides an excellent opportunity for an individual with strong quantitative and qualitative skills to gain experience working with various teams at a hedge fund. Student analysts will be able to participate in informal social events and have ample opportunity to ask questions and learn about trading and the financial markets. Full-time potential exists after graduation.

RESPONSIBILITIES

• Work with the Data Engineering team to design and implement scalable processes and tools to extract and clean datasets
• Work with the Risk team to build tools to visualize risk metrics
• Work with the Execution Trading team to create tools that improve trading efficiency and reduce costs
• Work with the Research Team to perform exploratory data analysis to understand relationships and opportunities in the global markets

REQUIREMENTS

• Currently pursuing or recently completed a Bachelor’s, Master’s or PhD degree with a top grade
• Strong general programming background with experience coding in Python, and/or C++
• Familiarity with the mechanics of securities markets and exchanges is a plus but not required
• Be able to succinctly present recommendations at an executive level
• Strong analytic and strategic thinking skills

COMPENSATION

Student (MSc/Phd) salary 20h/w (per month, 14 payments): 1,964€