Career Opportunities

Chief Information Officer

The Head of IT/Engineering is accountable for the IT Function ensuring it complies with laws and regulations and that the infrastructure and architecture is constantly adapted to the Bank’s long-term strategy.

The leadership role entails being ultimately responsible for all day-to-day IT operations decisions making sure that the IT operation meets the business expectations of service levels. Additionally, the Head of IT/Engineering coordinates on-site support and communicates operating status on behalf of IT to the senior management and the bank’s employees
Responsibilities
• Ensure the bank’s IT Strategy is complied with
• Ensure compliance with laws and regulations
• Contribute to IT budgets and ensure staffing
• Manage IT Infrastructure, IT Support and help desk
• In charge of managing the outsourcing relationship
• Information security management (operational aspects)
• Secure IT Continuity
• Participate to IT employees’ recruitment and appraisal processes

Chief Technology Officer

Position Overview:

As the CTO, you will be instrumental in shaping the technical direction and strategy of our client company. You will work cross-functionally with the research and engineering teams to create robust technical roadmaps. You will leverage your extensive background in machine learning and experience in video generation to drive innovation and ensure the successful delivery of the product. This role requires both leadership and hands-on technical contributions.

Key Responsibilities:

Develop and implement a strategic technical vision for the company, ensuring alignment with business goals.
Create and manage technical roadmaps, prioritizing projects and resources effectively.
Lead, mentor, and grow our research and engineering teams, fostering a collaborative and innovative environment.
Work closely with cross-functional teams to integrate AI and machine learning technologies into our products.
Act as an individual contributor, working directly with the ML research team to develop and refine algorithms and models.

Qualifications:

Proven experience in a senior technical leadership role.
Strong background in machine learning.
Experience in video generation technologies is highly desirable.
Demonstrated success in leading research or engineering teams, with a track record of delivering innovative products.
Hands-on experience with machine learning frameworks and tools.
Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
PHD in Computer Science preferred.

Director of AI Platform

We are seeking a Director of Engineering to lead and expand our Artificial Intelligence (AI) Platform team. This team is the backbone of our AI and Machine Learning (ML) operations, providing the essential infrastructure and tools that empower our Data Scientists and ML Engineers to efficiently build, test, and deploy models. In doing so, you’ll make a meaningful difference in Hinge users’ lives by driving the technology that brings them together.

As the Director of AI Platform, you’ll drive strategic initiatives while also contributing as a hands-on engineer, ensuring practical and scalable solutions. The AI Platform team is set to grow to a total of five ML Platform Engineers by the end of 2024, and this role offers a unique opportunity to shape the future of the ML and AI landscape.

Responsibilities

Set and drive the vision, goals, strategy, and roadmap to build out our AI Platform infrastructure and accelerate the delivery of models to production.
Ensure engineering outcomes meet or exceed established standards of excellence in code quality, system design, scalability, and reliability.
Manage, hire, and scale a high-functioning team of engineers.
Participate in technical design discussions.
Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs, translate their needs into customer problems, and work with the team to identify and prioritize opportunities to accelerate the AI/ML development and deployment process.
Partner with other Engineering disciplines to integrate the AI/ML workflow into Hinge’s stack.
Define and develop best practices and processes to support efficient team operations.
Engage in hands-on work and software delivery while building out the team.

What We’re Looking
10+ years of experience as an ML, backend, data, or platform engineer, with 4+ years of experience in ML/AI.
3+ years of engineering management experience ideally in an AI platform role.
Expertise in building and supporting ML ops and data infrastructure.
Comfort with cloud native infrastructure.
Demonstrated technical leadership experience in aligning platform strategy with product and business objectives.
Demonstrated ability to drive execution to exceed business objectives.
Passion for developing, coaching, and scaling direct reports.
Effective communication with individuals from diverse technical and non-technical backgrounds.
Strong ability to lead and evaluate build vs buy trade offs.
Nice to have: Previous experience with AWS, Argo, Kafka, Kubenetes, Terraform, Databricks, Flink, Ray, or other ML Ops tooling.

Chief Operating Officer

The Head of Operations is tasked with overseeing day-to-day administrative and operational functions of the bank. This requires close cooperation with the CEO, as the Head of Operations is responsible for advising the CEO on any material challenges to the operational functionality of the bank.

The Head of Operations is further responsible for ensuring that the bank’s operational capacity is adequate to achieve the long-term goals set out by the Board and the CEO.
Responsibilities
• Design and implement business strategies, plans and procedures
• Set comprehensive goals for performance and growth
• Establish policies that promote company culture and vision
• Oversee daily operations of the bank and the work of executives (IT, Marketing, Sales, Finance etc.)
• Lead employees to encourage maximum performance and dedication
• Evaluate performance by analyzing and interpreting data and metrics
• Write and submit reports to the CEO in all matters of importance
• Assist CEO in fundraising ventures
• Participate in expansion activities (investments, acquisitions, corporate alliances etc.)
• Manage relationships with partners/vendors
COO – Head of Operations
Job description
The Head of Operations is tasked with overseeing day-to-day administrative and operational functions of the bank. This requires close cooperation with the CEO, as the Head of Operations is responsible for advising the CEO on any material challenges to the operational functionality of the bank.
The Head of Operations is further responsible for ensuring that the bank’s operational capacity is adequate to achieve the long-term goals set out by the Board and the CEO.
Responsibilities
• Design and implement business strategies, plans and procedures
• Set comprehensive goals for performance and growth
• Establish policies that promote company culture and vision
• Oversee daily operations of the bank and the work of executives (IT, Marketing, Sales, Finance etc.)
• Lead employees to encourage maximum performance and dedication
• Evaluate performance by analyzing and interpreting data and metrics
• Write and submit reports to the CEO in all matters of importance
• Assist CEO in fundraising ventures
• Participate in expansion activities (investments, acquisitions, corporate alliances etc.)
• Manage relationships with partners/vendors

Chief Compliance Officer

The CCO is responsible for establishing standards and implementing procedures to ensure that the compliance programs throughout the organization are effective and efficient in identifying, preventing, detecting and correcting non-compliance with applicable laws and regulations.

Ultimately the CCO is responsible for effectively executing the bank’s compliance program and adapting it to changing legal and regulatory landscapes, thus protecting the Board and senior management by flagging important issues and material breaches.
Responsibilities
• The Chief Compliance Officer is responsible for the creation and effective execution of the bank’s compliance program and will be responsible for addressing regulatory and compliance issues that pose legal, operational, and reputational risks to the bank
• The CCO will advise the Board and bank staff on regulatory and compliance matters
• The CCO will also monitor regulatory agency updates for changes in laws and regulatory guidance
• The CCO will serve as the bank’s Bank Secrecy Act (“BSA”) Officer

Senior Applied Machine Learning Engineer (Federal)

We are seeking a highly skilled and motivated Senior Applied Machine Learning Engineer for our Federal Delivery team who is passionate about delivering value to US Federal Government clients with Generative AI. If you have experience harnessing data to deliver mission impact at enterprise scale, enjoy working with alongside product teams to improve capabilities, and thrive in client-facing technical environments, we would love to hear from you!

Job Summary:

This position requires a current US Department of Defense or Intelligence SECRET or TS/SCI clearance.

Are you a seasoned Machine Learning Engineer with experience supporting defense or intelligence clients? Are you passionate about driving mission impact through data using cutting-edge technologies? We are seeking an experienced Senior Applied Machine Learning Engineer to join our Federal Delivery team. In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments. If you are adept at working in complex distributed computing production environments, integrating client data products into ML models in large end-user-facing system architectures, and are well-versed in tools like TensorFlow, PyTorch, Scikit-learn, and Docker, we encourage you to apply. You will collaborate closely with DevOps Engineers and Application Engineers to optimize our deployed ML solutions for clients to maximize mission impact and efficiency. You will also work closely with Applied ML Engineers in our product team to improve how users interact with ML and algorithmically driven aspects of the product. Our product team is rapidly developing and improving our product, and you’ll be a key conduit to bring customer feedback to influence our product, research, and ML deployment roadmap.

NOTE: This is not a research role. There will be hard algorithmic and ML problems you will need to solve, but this role is focused on the delivery and integration of ML and algorithms that could help our clients today.

Responsibilities:

Deploy, test, and optimize NLP models and data pipelines in US Government client environments
Focus primarily on deploying algorithms and ML models using Python, Docker, and Kubernetes. This includes understanding the runtime complexity of algorithms and the cost to run ML models at a production scale in order to create ML-driven approaches that are grounded in performance.
Perform model tuning, prompt tuning, and other ML optimization processes alongside client technical experts to maximize the mission impact of our product.
Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.
Communicate with client and partner technical teams to maximize algorithmic impact and optimize workflows.
Present progress and outcomes to client non-technical leadership.
Collaborate with Applied ML Engineers and others in our product team to address user requirements and craft features that enhance the user experience.
Continuously improve and iterate on features to deliver mission impact.
Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion.
Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime.

Required Skills and Qualifications:

An active US Department of Defense or Intelligence SECRET clearance, with a willingness to upgrade to TS/SCI if needed.
Bachelor’s degree in Computer Science, Software Engineering, Statistics, or equivalent experience.
Minimum 4 years of professional experience in ML Engineering/MLOps, with a track record of delivering enterprise products to US Government clients.
Experience containerizing algorithms using Docker and deploying into production Kubernetes environments.
Strong coding skills with a passion for creating high-quality software and amazing user experiences.
Strong proficiency in Python and experience with NLP techniques, resources and methodologies (including but not limited to Spacy, Scikit-learn, and Pytorch).
Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, Elasticsearch, PostgreSQL, Celery, and RabbitMQ.
Strong communication skills and the ability to collaborate effectively with clients, partner vendors, end users, and cross-functional teams.
Ability to own ML delivery tasks end-to-end with little to no direct support.

Preferred Qualifications:

Experience with Generative AI technologies and Large Language Models is a plus.

Vice President, Data Scientist

Overview:

We are seeking a dynamic and experienced individual for the role of Vice President of Data Science. In this leadership position, you will be responsible for driving the development of data-driven analytical solutions and identifying opportunities to support business and client needs. The successful candidate will lead a team in creating predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations.

Responsibilities:

Oversee the creation of robust analytical and innovative information solutions, leveraging global databases, assets, and software platforms.

Collaborate across internal partners with stakeholders to identify opportunities related to analytical solutions development, feasibility, and other technical offerings.

Ensure project quality and outcomes, working to ensure client satisfaction with project deliverables and outcomes.

Drive efforts to standardize and automate analytical solutions to enable scaling and enforce function-wide data quality and compliance aligned with broader business standards.

Participate in client presentations and discussions with executive-level stakeholders, serving as the Subject Matter Expert (SME) for the team.

Prioritize projects that deliver growth and align the function with the business financial strategy.

Oversee team capacity management and resource allocation in partnership with other internal Advisors stakeholders.

Define the roadmap for the data science team, partnering with Product and Engineering to materialize initiatives.

Partner with senior business, product, and engineering leaders to develop strategic goals.

Be a technical leader for the data science team, helping institute best engineering practices and grow the team’s technical capabilities.

Ensure data best practices and build a data-driven culture throughout the organization.

Conceive, develop, implement, and continually improve machine learning projects.

Establish a clear vision and mission for the data science department.

Work with cross-functional partners and executives to define and achieve business goals and build data-informed business strategies and roadmaps.

Lead the end-to-end planning and execution of all data analytics and sciences initiatives.

Experiences:

Proven track record designing innovative approaches to client/stakeholder solutions.

Experience leveraging the agile process when developing and delivering products or solutions.

Success managing the solution development pipeline and managing resource distribution appropriately.

Successful track record maintaining client portfolios and external relationships.

Proven ability to optimize resource management (e.g., utilization management, staffing, and capability planning) to drive optimal returns on internal talent.

Qualifications:

10+ years of advanced analytics or data science experience.

5+ years of management experience leading data science teams in financial services, technology, fintech, or financial services.

Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learning.

Strong interpersonal and communication skills.

Comfortable presenting to executives and peers, as well as writing complex SQL queries.

Business acumen and the ability to apply data science capabilities to solve practical business problems.

Expert level knowledge in predictive analytics, machine learning, and data mining.

Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle

Ability to implement latest ML research to improve our current algorithms.

Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), generative ai models, distributed machine learning (spark), Linux and shell scripting.

Experience with cloud computing services such as AWS or Azure ML

Experience integrating data science applications into software products, understanding ML Ops (deployment/scalable infrastructure).

Proven ability to attract, hire, develop, and retain exceptional talent.

A dynamic, forward-thinking leader with a bias toward action, experimentation, and velocity.

Master’s degree in Computer Science, Statistics, Machine Learning, Mathematics, or related quantitative field. PhD preferred.

Algorithmic Trading Quantitative Analyst

Category: Financial Technology/Software Engineering

Fast-growing financial technology and algorithmic trading analytics firm with a presence in the Americas, Europe and Asia provides Algorithmic trading strategies, analysis and associated technology to premier global financial institutions.

Position:

The Analyst will be a member of research and client strategy development and reporting team. The analyst will help analyze algorithm behavior, develop transaction cost and impact analytic reports and suggest improvements to the trading strategies. The Analyst will be required to work with clients, sales, research and support in a variety of equities, futures and options related analytical projects.
Duties & Responsibilities:
· Ability to run/provide TCA and other client-requested reporting analysis, by answering Ad-hoc client statistical requirements and providing in-depth analytics e.g. past performance reports; hands-on across large-scale data analysis.

· Liaison between Quant Research team, some expertise with Tick Data is preferable

· Quant Modeling, ability to either build or work with the development team to build tools to improve research, trading, and process automation.

· Data Manipulation and Reporting

Experience:

· A minimum of 2-5 years’ experience supporting electronic trading operations and the ability to understand Algorithms in depth.

· Experience supporting Equity Algorithmic trading. Experience with Options and Futures is desirable.

· Good computing skills. Experience with SQL and Python desired.

· Experience with FIX, algorithmic trading and securities markets.

· Excellent analytical, written and verbal communication skills

· University graduate and a Bachelors or Masters in finance, a quantitative field or MIS degree required, MBA a plus. Good knowledge of statistics will be a strong plus.

AWS Lead Solutions Architect

As an AWS Cloud Architect, you will lead technical teams to deliver cutting edge solutions on cloud platforms for some of our Fortune 1000 clients. You will have the opportunity to contribute to work that may involve building new cloud solutions, migrating an application to co-exist in the hybrid cloud, deploying a global cloud application across multiple countries or providing design guidance / proof of concept (POC) for our managed services team for continuous optimization. Our teams of technologists have a diverse range of skills and we are always looking for new ways to innovate and help our clients succeed.

Work You’ll Do

As AWS Architect you will have multiple responsibilities depending on project type. One type of project may involve designing and architecting cloud migrations. Another type of project might involve building data lake over AWS. From an operational viewpoint, your role may require setting up alarms, event trigger or dashboard to monitor AWS resource workloads.

The key responsibilities may involve some or all the areas listed below:
Design and implement data lake solutions on AWS cloud
Design and implement cloud migration strategy for an enterprise
Provide solution on big data and Hadoop base architect on AWS
Write MapReduce and/or Spark jobs
Provide application side AWS cloud solutions
Work hands on with AWS technologies (EMR, Redshift, S3, Data Pipeline, Elastic Search, Glue, DynamoDB, Athena, Kinesis, QuickSight, etc.)
Exposure to ETL tool like AWS Glue Take part in peer group code reviews
Mentor team on AWS and application
Identify risks and issues, and help monitor them
Driving project/service delivery
Architect, design and implement solutions for various functions, as well as continuously improve the security of our Amazon Web Services integrated practice, products, and tools.
Drive innovation and integration of new technologies into projects and activities in the software systems design organization.
Programming applications to be optimized to work within constructs of an AWS environment
Provides domain-specific expertise and overall software systems leadership and perspective to cross-organization projects, programs, and activities.
Exposure into broad spectrum of emerging technologies, their commercial implications and market prospects
Consulting opportunity with enterprises across verticals to review and adapt their technologies, products and services
Enabling small and medium sized companies enhance their value by differentiating their products and services
Understanding the benefits provided by data center optimization, adopting cloud computing, automation and advising on applications that are suitable for migration to cloud
Architecting and delivering business solutions for clients who can leverage various cloud platforms and.

Chief Information Security Officer (CISO) and Head of Enterprise IT

The Chief Information Security Officer (CISO) and Head of Enterprise IT will lead the dynamic Information Security and IT organization for one of the top e-commerce companies revolutionizing how people shop. Reporting directly to the Chief Product and Technology Officer, you will be responsible for overseeing all aspects of information security, including Cloud Security, DevSecOps, Security Operations, and Security Strategy. Your role will be pivotal in ensuring the reliability, scalability, and security of our systems to support our rapidly evolving business while adhering to industry best practices. As Head of Information Technology, you’ll also be responsible for all areas of the IT organization including IT Infrastructure, Enterprise Applications and Insights, Business Systems, Employee Technology Services, and IT Analytics.

The ideal candidate will be an excellent leader who possesses a complementary balance of business and technology in a SaaS environment with an emphasis on business value, quality and optimization of service, system integrity and stability.

In addition to the operational responsibility, this is a strategic leadership role that requires strong partnership with almost every function across the company, including Engineering, Algorithms, Security, Product, Finance, Marketing, Client Services, Warehouse Operations and work seamlessly with the executive team. Partnering with other senior leaders across the company, you’ll translate information technology capabilities into strategic business decisions. You’ll build a strong long-term technology strategy that aligns with the company strategic plan and influences the overall company direction. You’ll drive accountability and metrics ownership to translate strategy into results. And you’ll align and inspire your organization by effectively communicating and engaging the team in the strategy.

You’re Excited About This Opportunity Because You Will…

You will lead and manage the Information Security and Information Technology organization, inclusive of enterprise applications, business systems supporting various verticals in Finance, Marketing, Customer Experience and Human Resources, SaaS based Enterprise Resource Planning (ERP), Employee Technology Services, IT Infrastructure, Operations and platforms.
Mentor and coach security practitioners, fostering a culture of continuous learning and professional growth
Update the Company’s Board of Directors quarterly on the state of the Company’s security posture
Develop and implement a multi-year security strategy and roadmap to anticipate and address security challenges in alignment with company growth objectives
Drive the evolution of security capabilities, including Cloud Security, DevSecOps, and Security Operations, to support the company’s high-growth trajectory
Develop a multi-year strategy and roadmap for IT to anticipate and scale to support all business initiatives across the company
Identify, assess, and manage security risks, ensuring the resilience of IT systems and infrastructure across global operations
Anticipate and manage future technology debt challenges through partnership and raising awareness of technical dependencies
Lead the development and implementation of security programs, focusing on usable security solutions that support business innovation while mitigating risks
Drive the adoption of secure development practices and tools, ensuring the integrity of software products and infrastructure in cloud-native environments.

We’re Excited About You Because You…

Have a Bachelor’s degree in Technology, Information Systems, Analysis, Business or equivalent relevant experience
Bring 12+ years of experience in Information Security and IT services and projects in a cloud-native, engineering-heavy technology environment
Bring 8+ years of people management experience
Are an experienced leader, able to guide teams and executives through complex, data-driven decisions
Possess a deep understanding of IT operations and business systems in the context of resilient business and technology processes
Have a track record for delivery in a complex, rapidly changing environment
Champion and drive a culture of continuous learning to improve execution and remove roadblocks that are holding the team back.
Act as a strategic partner who can translate business problems to technology solutions
Work effectively across the business to influence and create client value
Empower self-organization and responsibility within your teams

Lead Cyber Security Engineer (Government Intelligence Center)

Roles and Responsibilities include:

Familiar with disciplines such as: computer science, artificial intelligence, reverse engineering, RF engineering, signal processing, military operations, information warfare, policy analysis, scaled agile framework, and system architecture
Strategize with senior government personnel
Advise and influence on cyber operations vision
Engineer innovative tactics, techniques, and procedures to ensure resiliency in the face of cyber-attack
Prevent malicious cyber activity
Detect the presence of adversaries on friendly networks
Develop innovative cyber operations strategies, tactics, techniques, and procedures
Work closely with senior government leaders to communicate vision and strategy to improve cyber operations
Lead a team of company personnel to implement strategy and/or develop prototype solutions

Basic Qualifications:

Typically requires a minimum of 8 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related education and work experience.
Bachelor’s degree in computer science, computer engineering, or related field
At least 8 years of professional experience
A demonstrated knowledge of systems engineering and familiarity with cyber security processes and tools.
Track record of innovative thinking with a bias toward action in the cyber security/resiliency domain
Demonstrated ability to work with sponsors at a senior level to identify key technical challenges and opportunities.
Experience developing work programs, shaping work programs, and creating sponsor relationships, especially as related to cyber software engineering, intel, public sector, and/or DOD cyber work programs.
familiar with cybersecurity development including system testing & evaluation and verification & validation.
Must have minimum of DoD TS/SCI with Polygraph clearance

Preferred Qualifications:

Advanced degree in technical field of study

This requisition requires the candidate to have a minimum of the following clearance(s):

Top Secret /SCI/ Polygraph

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Top Secret /SCI/ Polygraph

Chief of Staff

Our Quant Trading client develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

Our client is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

The Role: We are seeking an exceptional Chief of Staff to the CTO to join the Quant team. The Chief of Staff will support the CTO in critical day-to-day operational and executive work. The role includes, but is not limited to the following:

Collaborate with senior management to determine, develop, and prioritize business and technology strategies
Work directly with the CTO and other C-Suite executives to drive key team and company priorities
Gather and analyze information to senior leadership to help make key decisions
Provide clear documentation and communication of results to a diverse audience of stakeholders
Relationship management between company and 3^rd party consultancies/software vendors
Be a trusted delegate to CTO to handle routine day-to-day matters of the organization.
Partner with executive team members in managing key projects and priorities
Prepare and present organization-wide updates
Lead global employee engagement initiatives
Lead oversight and execution of an effective global technology talent strategy
Oversee program and business management functions for Technology organization.

What You’ll Bring:

10+ years’ experience as Chief of Staff, COO, or a similar role in Technology or Financial industry
Background in software engineering preferred, but not required
Highly analytical and creative thinker with strong business acumen
Exceptional organizational and time management skills with an obsessive attention to detail
Ability to define problems, collect data, establish facts, and draw valid conclusions to difficult problems
Effective vendor negotiation and value engineering skills
Familiarity with standard accounting methods and practices
Ability to influence across all organizational levels, particularly senior management
Demonstrated ability to effectively communicate (oral and written) at all levels
Ability to influence effectively in a matrix environment
Experience working in a highly demanding environment while exhibiting a keen sense of urgency
Strong mentorship, conflict management and decision-making skills
PHD in Computer Science or related field preferred