The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing Intraday signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Its Impact: As we pursue our goal of creating new alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed.

What You’ll Bring:

• Bachelor's, Master's or PhD degree from a leading university in a quantitative or highly analytical field (e.g.Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
• Demonstrated ability to program in C/C++ and/or Python on a Unix/Linux platform
• Strong background in ML/AI/Statistics is a big plus
• Strong background in Data Science and experience working with large datasets is a big plus
• Relentless drive to pursue ideas from conception to implementation
• Intellectual curiosity and desire to develop genuine insights and domain expertise.
• Excellent problem solving abilities and judgment with a strong attention to detail
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Strong English language skills; ability to communicate complex concepts in simple terms

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

At the Riot Singapore Efficiency team, we're driven by innovation and optimization. Our team harnesses the power of Machine Learning approaches and Artificial Intelligence to reimagine the way we build games. By leveraging cutting-edge technology, we aim to streamline development processes, enhance creative workflows, which finally deliver immersive experiences to players around the globe. Join us in pushing the boundaries of what's possible in game development and shaping the future of interactive entertainment.

We are seeking a talented and experienced Data Scientist to join our AI team. As a Senior Data Scientist, you will play a key role in leveraging Machine Learning techniques to drive innovation and efficiency in our game development processes. You will collaborate closely with game teams to accelerate artists' pipelines, streamline workflows, and introduce novel tools aimed at enhancing player experiences.

Responsibilities

• Collaborate on the development and implementation of Machine Learning models aimed at accelerating creative pipeline optimizations, enhancing processes such as content creation, iteration, and integration.
• Work closely with game designers, engineers, and artists to identify opportunities for applying Machine Learning techniques to streamline creative workflows, improve asset generation, and enhance overall efficiency in game development.
• Design and conduct experiments to validate models, measure their impact on creative pipeline optimizations, and drive continuous improvement.
• Stay abreast of the latest advancements in Machine Learning, and gaming technology, and proactively explore innovative approaches to enhancing creative pipeline efficiencies.

Required Skills 

• Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
• At least 3 years of extensive experience in applying Data Science techniques to real-world problems, with a proven track record of delivering impactful data science solutions in a fast-paced environment.
• Proficiency in programming languages such as Python, R, C, C++, C#, and experience with libraries and frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of statistical analysis, experimental design, and data visualization techniques.
• Experience working with Generative Models, such as Score-based Diffusion Models, Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), to drive creative pipeline optimizations.
• Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Leadership experience, including mentoring junior team members, interns and driving cross-functional collaboration, is highly desirable.

Desired Skills 

• Experience working in the gaming industry or a related field is a plus.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks

• Full relocation support
• Full health insurance for you, your spouse and children
• Open paid time off
• Retirement benefits with company matching
• Life insurance, parental leave, plus short-term and long-term disability
• Play Fund so you can broaden and deepen your knowledge of our players and community through games
• We will double down on your donations of time and money to non-profits

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

What You’ll Bring:

• Candidates holding or pursuing a Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus.
• Be competent in a programming language (Python, Unix)
• Possess good English language skills
• Have a strong interest in learning about worldwide financial markets
• Possess a relentless drive to succeed, supplemented by a strong work ethic

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

Role Summary and Impact 

We're on a mission to democratize AI across our analytics team, and we need a trailblazing leader to helm this effort. As the Data Analytics and BI lead, you'll develop and execute a strategy to enable our analytics team members with AI capabilities, empowering them to drive business growth and deliver exceptional client value.

Skills and Experience 

What you will do:

• Develop AI enablement strategy: Create a comprehensive plan to upskill and reskill our analytics team members with AI capabilities, aligning with business goals and objectives.
• Design and deliver AI training programs: Collaborate with internal stakeholders to design and deliver training programs that cover AI fundamentals, machine learning, and data science.
• Develop AI-powered tools and platforms: Lead the development of AI-powered tools and platforms that augment our analytics team's capabilities, driving efficiency, accuracy, and innovation.
• Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
• Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.

Role requirements:

• Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Experience: 10+ years of experience in AI engineering, with 5+ years in a leadership role.
• Technical expertise: Strong background in AI, machine learning, and software engineering, with experience in languages such as Python, Java, or C++.
• Knowledge of cloud-based AI platforms: Experience with cloud-based AI platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
• Leadership skills: Proven track record of leading high-performing teams, with excellent communication, mentoring, and project management skills.
• Business acumen: Understanding of business operations, market trends, and the media industry.
• Please note the team will be prioritizing applicants who are already based in Singapore for this role.

Nice to have:

• Experience with media analytics: Familiarity with media measurement, data analytics, and advertising technology.
• Certifications in AI or machine learning: Certifications such as Certified Data Scientist or Certified Machine Learning Engineer.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. 

While we appreciate all applications received, only those candidates selected for an interview will be contacted.  

#LI-Promoted

BUSINESS ANALYST

Important Information

Location: Singapore

RESPONSIBILITIES:

• Collaborate with stakeholder departments in business, operations, technology, regulators, etc and co-ordinate execution by respective owners
• Execute projects according to plan, scope, budget & timeline
• Ensure project execution adhere to policies, procedures and criterias
• Monitor, track and control outcomes to resolve issues, conflicts, dependencies and critical path deliverables
• Understand interdependencies between business, operations and technology
• Analyze risk and propose mitigation plan
• Assist in Test Progress, Defects Analysis
• Analyze current business processes to identify AI integration opportunities.
• Collaborate with business sponsors, product managers, data scientist, technology partners to realize business needs into actual solution.
• Conduct data analysis to support decision-making and validate AI model readiness.
• Familiar with Associative data modeling, predictive & text analytics, classification, data exploration, summarization.
• Work with relevant stakeholders to develop use case benefits explanation, business requirement documents (BRDs), process maps, data dictionaries, client journey, user stories..etc

REQUIREMENT:

• Bachelors’ Degree in Computer Science or related field.
• At least 4 years’ relevant experience preferably in a Finance Institution
• Able to perform 40% Project Management and 60% Functional Business Analysis Work
• Have relevant experience with Trade Finance Products or Operations

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality

About WPP Media  

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.   

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.  

For more information, visit wppmedia.com. 

 Role Summary and Impact 

The Media Futures Group AI Squad is a small, agile, and autonomous innovation team dedicated to charting the course for AI transformation across APAC for one of WPP’s most important and strategic global technology clients. 
 
By seamlessly integrating AI across media, creative, and production, this cross-functional squad delivers cutting-edge innovation and pioneering work to deliver more effective and efficient business outcomes. 
 
The team’s mission is to solve specific business challenges by delivering demonstrable proof of AI-enabled marketing improvements, providing strategic guideposts for the broader organization. 
 
Utilizing best-in-class tools like WPP Open and Gemini, you will innovate and deliver award-winning creative ideas while building, testing, and scaling solutions that enhance effectiveness, efficiency, and execution for our clients. 

While the Media Planner architects the overarching strategy and budget distribution, the Associate Media Activation Director acts as the engine room of the campaign. You are the cross-channel platform deployment lead for the squad, responsible for executing the campaign end-to-end—from receiving AI-generated assets for trafficking to actively optimizing live media in-flight. You will navigate the high-pressure environment of live sprints, ensuring that our AI-led strategies are executed flawlessly across platforms while aggressively utilizing AI tools to automate your own daily activation workflows. 

Responsibilities 

• Live Deployment & Trafficking: Take full ownership of the hands-on-keyboard campaign setup. Execute complex digital trafficking, ad server configuration, and live activation of programmatic, search, and social media campaigns across self-service ad platforms. 

• Real-Time Optimization & Pacing: Continuously monitor in-flight campaigns during the live sprint. Manage daily budget pacing, adjust bidding strategies, and dynamically reallocate funds across channels based on real-time performance data and predictive AI signals. 

• Quality Assurance (QA) & Troubleshooting: Act as the first line of defense for campaign health. Rapidly identify and troubleshoot tracking inaccuracies, tag misfires, creative disapprovals, or data integrity issues before they impact campaign performance. 

• AI-Assisted Workflow Automation: Actively utilize generative AI (such as Google Gemini) and automated scripts to accelerate mundane activation tasks, including bulk campaign uploads, naming convention generation, anomaly detection, and automated performance reporting. 

• Cross-Functional Collaboration: Work in lockstep with the Media Planner to ensure the strategic architecture translates perfectly into the platform, and collaborate with the Data Scientist to ensure all tracking pixels and measurement frameworks are firing correctly. 

Skills and Experience 

• 2 to 4 years of dedicated, hands-on experience in digital media activation, ad operations, or performance marketing execution. 

• Deep, practical expertise navigating and operating within the Google Marketing Platform ecosystem; active certifications in Display & Video 360 (DV360), Campaign Manager 360 (CM360), and Google Ads are highly preferred. 

• Strong, mechanical understanding of ad tech infrastructure, including tracking pixels, universal tags, UTM parameters, and Google Tag Manager. 

• Proven track record of managing daily budget pacing and executing in-platform optimizations for complex, multi-market or high-budget campaigns. 

• Baseline fluency in utilizing AI tools (like Gemini or ChatGPT) for everyday productivity, with a strong desire to learn how to apply machine learning and AI automation directly to media buying and operations. 

Key Competencies 

• Flawless Tactical Execution: An uncompromising, zero-defect approach to campaign QA, trafficking, and naming conventions. 

• Analytical Agility: The ability to quickly parse live dashboard data, spot performance anomalies, and execute immediate in-platform adjustments. 

• Platform Mastery: Deep, native comfort operating within the granular settings and bidding algorithms of major Demand-Side Platforms (DSPs) and ad servers. 

• High-Pressure Resilience: Thrives in fast-paced, high-velocity deployment environments where campaigns must be launched, paused, or pivoted on a dime. 

Life at WPP Media & Benefits  

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.    

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  

Please note that while our philosophy is the same across WPP, benefits may vary by office/country. 

#LI-Regional

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 incenting 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 AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data.

What You’ll Do: 

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third.

Other duties as assigned or needed.

Skills You’ll Need:

• 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia
• Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)
• Solid development skills in Python and/or C++
• Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Reliable and predictable availability

Bonus Points

• Experience with HPC and distributed large model training
• Experience with GPU performance optimization (CUDA or ROCm)
• Experience with end-to-end model development, especially in LLMs
• Prior academic publications and/or contributions to open-source AI research
• Strong opinions on best practices in ML research, tooling, and/or infrastructure

Job Summary

As a Scientist / Senior Scientist in Protein Sciences, you will serve as the primary client-facing lead, combining deep expertise in biologics with strategic project management to ensure the success of collaborative programs. You will work closely with clients to assess their needs, translate scientific requirements into actionable plans, and oversee end-to-end project execution—aligning scientific teams, production, and stakeholders to deliver high-quality results on time and within scope.

Job Responsibilities:

Client-facing Project Management

• Serve as the primary point of contact for clients, ensuring effective communication, satisfaction, and alignment throughout the project lifecycle.
• Collaborate with clients to define project scope, objectives, deliverables, and timelines.
• Translate client requirements into actionable plans for scientific and production teams, aligning technical capabilities with business goals.
• Oversee project execution, proactively identify and mitigate risks, and ensure high-quality deliverables are completed on time and within scope.
• Provide regular progress updates to clients, addressing challenges and presenting solutions to maintain transparency and trust.

Cross-Functional Coordination:

• Collaborate with cross-functional and cross-cultural teams to support the development of biologics, with a focus on early-stage research and production scale-up.
• Partner with internal stakeholders (e.g., Quality Assurance, Process Development, and Manufacturing) to ensure alignment and efficiency in biologics production workflows.

Data Analysis & Reporting:

• Analyze and interpret experimental data, preparing detailed technical reports and presentations for both internal and external stakeholders.
• Contribute to the development of scientific publications, conference presentations, and webinars to showcase innovative findings and advancements.
• Complete other tasks assigned by superior(s).

Qualifications:

• Ph.D., or equivalent major in Biochemistry, Molecular Biology, Cell Biology, Structural Biology, Bioengineering, Chemical Engineering or a related field.
• Experience with high throughput and/or scale-up processes for biologics production.
• Strong willingness to work in client-facing project management, with excellent communication and interpersonal skills.
• Expertise in mammalian cell culture systems and recombinant gene or protein production.
• Familiarity with industry practices and regulatory requirements and quality standards in biologics production.
• Excellent teamwork able to lead and collaborate effectively with external stakeholders and internal teams.
• 2+ years in antibody production, research, process development or technical services.

ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

RESPONSIBILITIES 

• Onboarding novel datasets from a huge variety of sources into our platform
• Building processes, tools and frameworks to ingest, clean and deliver datasets
• Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams
• Creation of in-house, value added, derived data products for consumption by investment teams
• Engaging with vendors and internal stakeholders to understand characteristics of datasets
• Partnering closely with investment teams to ensure their data requirements are met
• Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams

REQUIREMENTS 

• PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
• Strong programming skills in Python and SQL
• Experience working with AWS, Linux and Airflow preferred but not required
• 5+ years of experience as a Data Scientist or similar role
• Experience working with large data sets including predictive modeling
• Financial industry experience preferred but not required
• Strong organization, communication and interpersonal skills
• Intellectual curiosity and enthusiasm for learning
• Attention to detail and a love of processes
• Strong oral and written communication skills
• Ability to multitask and prioritize assignments
• Commitment to the highest ethical standards

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

• Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
• Generate novel ideas for enhanced proprietary data products.
• Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
• Transform firm approved raw datasets into robust features for our systematic models.
• Build analytical tools to supplement our shared research framework.

Requirements

• BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or a comparable language) and working knowledge of SQL.
• Strong analytical and quantitative skills.
• Willingness to take ownership of their work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• High attention to detail.
• Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
• Commitment to the highest ethical standards.

ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

RESPONSIBILITIES 

• Onboarding novel datasets from a huge variety of sources into our platform
• Develop, test and deploy data pipelines, applications and services
• Re-shaping, aggregating, enhancing and creating features from datasets
• Engaging with vendors and internal stakeholders to understand characteristics of datasets
• Defining and automating qualitative data alerts and reports
• Partnering closely with investment teams to ensure their data requirements are met
• Perform preliminary analysis and research to be shared with investment teams

REQUIREMENTS 

• Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
• Strong programming skills in Python and SQL
• Experience working with AWS, Linux and Airflow preferred but not required
• Financial industry experience preferred but not required
• Strong organization, communication and interpersonal skills
• Attention to detail and a love of processes
• Strong oral and written communication skills
• Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
• Ability to multitask and prioritize assignments
• Commitment to the highest ethical standards

Who We Are