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Benchmark IT - Technology Talent

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Jobs
IT Technical Support Specialist (SAP)
Monroe, Connecticut, United States
DIRECT HIRE
  • TERMS: direct hire

Our direct client looking for a value driven IT Technical Support Specialist - SAP User Provisioning to join their IT department’s Helpdesk team. This position provides leadership, knowledge and technical skills to support the company's SAP landscape and general IT support. You will collaborate with Business Analysts, Technical Support Engineers and SAP consultants.

They are embarking on an exciting journey to migrate to SAP's HANA based systems and this role will also be supporting those efforts. This position will be based in their Monroe, CT office. After 3 months of employment, you will be eligible for a hybrid schedule. 

Principal Responsibilities
  • Use SAP tools to configure, maintain and delete SAP roles and user accounts within SAP modules. (e.g., Core ECC, CRM, BW Mobile and Portal)
  • Maintain an auditable change management workflow for SAP role modification requests and user access changes.
  • Maintain a consistent process for testing, implementation, and maintenance of roles across SAP applications.
  • Work with end-users and the Help Desk to quickly resolve user access and configuration issues.
  • Assist in the design of new functionality as additional requirements are identified by users.
  • Work with internal and external auditors in the identification and correction of access points within SAP.
  • Escalate issues to IT Management team and BASIS administrator in a timely manner
  • Provide IT help desk support including technical troubleshooting for all personal computer hardware (desktops, laptops, monitors, scanners, mobiles, etc.), all corporate standard software (Windows 10/11, Office 365, other business applications.), Windows networks and Citrix Metaframe servers and clients. 
  • Assist in the documentation and maintenance of all help desk policies and procedures, instructional documentation, technical specifications, test plans, etc.
Preferred Requirements
  • Broad working knowledge of Microsoft software applications including Windows 10/11, Office 365, and PC-compatible hardware. Basic SAP and S4 HANA knowledge strongly preferred.

  • Managing SAP User ID Permissions with Active Directory Group Administration.

  • Experience in communicating technical material to non-technical internal customers and to all levels of employees within the corporation.

  • Understanding and use of remote access technology.

  • Excellent customer service skills, particularly telephone skills.

  • Must be self-motivated and able to make decisions independently.

  • Project management knowledge and practical experience 

  • Strong analytical skills, ability to conceptualize, analyze, and take action

  • Proven ability to handle random, frequent, concurrent, and often complex situations.  Must be technically knowledgeable and have extremely strong problem-solving skills.

  • Able to conceptualize problems and set priorities.

  • Must be able to manage multiple tasks while also meeting project commitments.

Education/Certifications
  • Bachelor's degree in computer science or related discipline preferred.
  • IT certifications or training a plus
  • 4+ years of hands-on experience with SAP security administration and implementation across multiple SAP landscapes
  • Exposure of SAP Basis and application modules

Sr. Network/Systems Administrator - Contract
New York, United States
CONTRACT
  • TERMS: contract

For our direct client, a fast-growing fintech company in downtown NYC, we seek an experienced hands-on Sr. Network/Systems Administrator for an immediate contract role. This role will be responsible for managing daily technology operations and providing support for a team of 150+, working with a small focused IT team. It offers a blend of hands-on technical support, network and systems administration, and vendor management. The ideal candidate will have strong technical expertise and a service-driven approach. This position reports directly to the Chief Operating Officer.  Onsite daily in downtown NYC (World Trade Center).

Key Responsibilities

Infrastructure & Security Management

  • Oversee network infrastructure, including Fortinet equipment and security solutions such as Crowdstrike (EDR) and Cloudflare (Zero Trust).
  • Manage VLANs, network segmentation, and failover systems for uninterrupted connectivity.
  • Ensure data security by implementing and maintaining encryption standards across all devices.

Systems Administration & IT Support

  • Administer Google Workspace and manage MDM (Filewave) for software deployment and remote support.
  • Maintain password management systems, access controls, and asset tracking via Fresh Service.
  • Provide hands-on IT support for both on-site and remote employees, overseeing device provisioning and office technology (A/V equipment).

Vendor & Project Management

  • Assist in IT infrastructure setup in recent new office, ensuring a smooth transition.
  • Oversee network switch replacement and coordinate vendor contract negotiations.
  • Manage relationships with key vendors, including MSP, ISPs, and other software providers.
  • Collaborate with HR and DevOps to support onboarding as the company scales 
This is an immediate contract role with the potential for full time hire at the end of the contract, if mutually desired. If you are qualified and interested, please send your resume today.  

Product Manager, API Integrations - Hybrid
New York , New York, United States
DIRECT HIRE
  • TERMS: direct hire

About the Role 

Our direct client is seeking a highly motivated Product Manager to help lead the development of the firm's Distributed Ledger Technology APIs and client system integrations. This individual will be working in a team-oriented environment with smart and hardworking individuals in a results-oriented culture with support from the Executive Management. This is a management level role with room for growth and oversight over teams, projects, and space. This person will have the opportunity to solve fun and complex industry wide problems, spanning across various alternative investment data workflows. This role works directly with end users and clients to bring scale and efficiency spanning across a multitude of different business processes.  

This is an opportunity to utilize the latest technologies and innovative solutions. This individual will own, lead, and deliver various solutions with direct oversight of data models, data validation, and data integrations, largely defining and influencing others in your own space, from identifying unmet needs to defining requirements, writing user stories, developing project communication plans, and testing implementations.  We live and breathe agile and deploy fast, to learn and iterate quickly. Having fun while doing it is a big part of who we are so the ideal candidate will embrace a collaborative, multi-disciplinary team in a fast-paced, entrepreneurial environment. 

Responsibilities 

  • Lead engagement with end users and clients to identify and deliver solutions to core functional areas and user needs. 
  • Develop the strategic roadmap and lead the direction of the product data models and APIs in partnership with stakeholders. 
  • Present, communicate, and work directly with executive management as needed and provide status updates of critical strategic implementations. 
  • Resolve issues and concerns around the allocation of resources and work with stakeholders to manage expectations and setting of priorities. 
  • Work with the production support team and provide oversight and work to resolve existing gaps with new builds or proposals for new resources. 
  • Propose and plan team structure and expansion where necessary with a well thought out plan of execution as the company grows. 
  • Mentor the team by coaching and leading by example from all aspects of development whether building relationships or project execution. 
  • Identify the highest leverage areas and mobilize key constituents quickly to deliver great products and critical key API features and functions. 
  • Develop a strong understanding of business impacts and what is most critical and manage the team and space for concurrent requests and requirements. 
  • Test and review client integrations and oversee team execution in general and ensure flawless execution. 
  • Monitor the performance of the APIs and connectivity with clients to continuously improve it through all the life-stages of a product. 
  • Maintain awareness of the competitive landscape from a business, legal, and compliance perspective. 
  • Step outside the product realm when appropriate to contribute to the team and overall company mission. 

 

Qualifications 

  • 5 -10+ years of experience in product management in a fast-paced, agile environment 
  • Proven track record of management of technical teams and projects 
  • Excellent management skills for organizing requests and priorities 
  • Track record of exercising strong influence in partnerships with colleagues, teams, and clients 
  • Great communicator and comfortable engaging executive management for ideas and resolutions 
  • Natural problem solver and driven to push initiatives to conclusions 
  • Critical thinker and comfortable with the unknown 
  • Financial technology background strongly preferred 
  • Willingness to dig deep, analyze and know the ins and outs of how things work 
  • Data analysis experience is required, with an emphasis in SQL and developing API integrations 
  • Develop an in-depth understanding of organizational data flow and its impact on business processes 
  • Expertise with QA testing and business analysis and project management 
  • Strong technical background and understanding; ability to design and implement strategic API functionalities at scale 
  • Strong interpersonal skills and capable of building relationships to gain buy in and achieve business results 
  • History of customer centric focus with a knack for quick and thoughtful problem-solving 
  • Strong interpersonal and presentation skills 
  • Experience in data engineering and quantitative science is preferred, but not required 

 

Benefits 

The base salary range for this role is $120,000 to $180,000 depending on experience level.   The firm offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). 

Hybrid in-office position:   Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.  Office is conveniently located next to Grand Central Terminal.  

 

 

 


Sr. DevOps/SRE - Hybrid:
New York , New York, United States
DIRECT HIRE
  • TERMS: direct hire
Sr. DevOps/SRE  – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Senior DevOps/SRE Engineer to develop and maintain the production and development environments for a multi-party application. This role will utilize strong DevOps principles and advanced cloud capabilities to facilitate the infrastructure and automated CI/CD for a distributed ledger platform. The ideal candidate is a highly collaborative, creative, and intellectually curious DevOps Engineer. The person in this role should have solid experience in Site Reliability Engineering and is passionate about forming and implementing cutting-edge cloud computing capabilities.  4 days onsite work in the NYC midtown office is required.  Base salary is in the $160-200K range DOE, plus generous bonus and stock options.    Responsibilities 
  • Design, implement, and manage AWS cloud infrastructure using Terraform and CloudFormation. 
  • Develop and maintain CI/CD pipelines using GitLab for seamless code deployment and integration. 
  • Collaborate with blockchain engineers to ensure optimal performance and security of the distributed ledger technology (DLT). 
  • Monitor system performance using Grafana, Prometheus, and Datadog, and proactively address system issues. 
  • Ensure high availability and reliability of the application across the end-to-end tech stacks. 
  • Collaborate with cross-functional teams to understand needs and deliver solutions that meet business objectives. 
  • Lead and mentor junior team members, fostering a culture of continuous learning and improvement. 
  Qualifications 
  • 8+ years of experience in DevOps, TechOps, or SRE, including at least 5 years working with AWS 
  • Strong desire to experience microservices in a production environment, particularly with Docker and Kubernetes 
  • Strong Linux OS-level, command-line and scripting knowledge (e.g., Bash, Python), and configuration management principles 
  • Applicants should have a working knowledge of databases such as MongoDB, Postgres, and DynamoDB 
  • Experience in architecting, implementing, and managing monitoring tools such as Prometheus/Grafana, CloudWatch, Splunk, Datadog, NewRelic, and ELK in the cloud 
  • Experience with compute provisioning on Cloud-based platforms using Terraform and/or CloudFormation 
  • Exceptional analytical skills, able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions 
  • Experience in building a Microservice-based architecture 
  • Excellent verbal and written communication skills 
  • Able to design and implement complex, but easily managed, automated infrastructure 
  • A desire to share knowledge, teach, and learn as part of a collaborative team 
  • AWS certifications are a plus 
  • Experience developing or integrating with blockchain applications is preferred, but not required 

Back End Python Engineer - Assistant Vice President / Vice President
New York, United States
DIRECT HIRE
  • TERMS: direct hire
Back-end Python Engineer - VP Level - Hybrid Our direct client, a fast-growing FinTech firm in New York City, very close to Grand Central Station, seeks a a Senior Blockchain / Backend Engineer.  The client is a leading platform for the world’s alternative investment marketplace. Their financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. Their services are  approximately $200 billion in global client assets invested in 1,634 funds, as of September 2024.    The firm has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award.   About the Role The firm's Distributed Ledger Technology team is looking to hire a Senior Blockchain / Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. Candidates should be able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners.      Responsibilities
  • Design and implement a private and permissioned distributed ledger using DAML / Canton and other open source blockchain frameworks
  • Build and maintain a RESTful API using Python and FastAPI
  • Provide technical leadership to motivate and guide team members and mentor junior engineers
  • Actively participate in daily stand-up meetings
  • Actively participate in Peer Code Reviews as part of our standard SDLC and Change
  • Stay current with the latest developments in blockchain technology and incorporate them into the ecosystem
  Qualifications
  • 5+ years software engineering experience building enterprise SaaS cloud-based solutions
  • 2+ year technical leadership and management experience 
  • Experience with DAML, Solidity, or other blockchain programing languages
  • Experience with Python and FastAPI
  • Demonstrated understanding of relational database concepts and modeling practices
  • Experience building APIs for large scale applications using AWS
  • Experience with tokenization and blockchain-based investments
  • Familiarity with security best practices and encryption techniques
  • Basic knowledge of finance and business (e.g., capital markets, alternative investments)
  • Excellent writing, communication, and presentation skills
  • Exceptional ability to understand client needs, scope projects, develop detail-oriented execution plans, and communicate results
  • An entrepreneurial hunger to own problems from start-to-finish, manage projects, overcome operational bottlenecks, and execute effectively
   Benefits   This position offers a very compensation package which includes salary, equity, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). Apply today for immediate consideration!

Lead SDET - Hybrid:
New York, United States
DIRECT HIRE
  • TERMS: direct hire
Lead SDET – Hybrid: Our direct client, a fast-growing FinTech firm, is looking for a Lead Software Developer in Test (SDET).  In this role, you’ll bring practical knowledge of agile development methodologies and engineering best practices. As a Software Developer in Test (SDET), you’ll work closely with the Development and Testing team. The ideal candidate would be a combination of a hands-on developer who has some managerial experience, and who can understand existing automation test frameworks and has an ability to enhance and implement the same and should also be able to work with other engineers and product managers to support feature-based testing. This position can be in NYC or Greenwich, CT, 4 days per week onsite is expected.  Base salary in the $150-170K range, DOE plus generous bonus and stock options.   Responsibilities
  • Managing a mid sized team
  • Build and implement robust automated test suites.
  • Integration of automated test suites with the current build and deployment processes.
  • Maintenance of automated tests to accommodate changes in system design and architecture.
  • Integration of Automation framework with existing tools (JIRA).
  • Create/Manage/Utilize Defect workflows with automated test execution.
  • Design and publish meaningful metric to support automation test creation and execution.
  • Build and implement performance test suites.
  • Perform all types of testing – Functional. API, Automation, Performance and Load
Qualifications
  • 8+ years of experience with QA engineering delivery experience
  • 4+ years of delivery within Agile SDLC/teams ideally with CICD
  • Experience managing a team
  • Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD)
  • Experience with Java microservices and REST APIs and exposure to React front end
  • Agile development approach
  • Technologies: Java, JavaScript, IntelliJ/Eclipse
  • CICD: Maven, Sonar, Git, Teamcity/Jenkins, Docker
  • Exposure to banking and/or finance environments preferred
  • Testing: Junit, WebdriverIO, Protractor, JMeter or similar
  

Data Scientist:
New York, United States
DIRECT HIRE
  • TERMS: direct hire

Data Scientist, Assistant Vice President

For our direct client, a leading fintech firm focused on alternative investments, we seek an experienced Data Scientist,  to measurably drive growth for the company's business teams using analytics, data science and machine learning. This is an onsite role, at the company's office near Grand Central Terminal in New York City, with flexibility to work from home on Fridays.  

In this role, you will work with our Sales, Marketing and Product groups to define, calculate and grow their key operating metrics (e.g. sales conversion, marketing conversion, product adoption, CAC/CLTV). You will sit in the Analytics group of the broader Chief Data Office (CDO) team and work closely with our Business Intelligence, Data Engineering and Machine Learning teams.

Day-to-day, you will requirements gather from internal stakeholders, conduct exploratory data analyses, perform statistical inference, and deploy machine learning models to production. You will be our subject matter expert when it comes to data science and machine learning.

At a technical level, you will build data sets using dbt/SQL, visualize measures of success using Tableau, formulate exploratory data analyses using pandas/Jupyter, develop statistical and machine learning models using Python, and finally deploy production-ready code using GitLab.

This is a technical, individual contributor role that blends data engineering, data analytics, data science and machine learning. Ideal candidates will be able to understand complex business problems, interface with internal stakeholders, develop execution plans, implement all aspects of the project technically, and finally present on their work.

Responsibilities:

· Write Python and SQL (in dbt) to extract, transform, validate, and aggregate data

· Conduct exploratory data analyses, build machine learning models and develop ML infra in Jupyter and Python

· Develop statistical models and construct data-driven experiments (e.g. A/B tests)

· Visualize key metrics using Tableau

· Work closely with our engineering, product and business teams to form a thorough understanding of our industry and evolving data model

Required Qualifications:

· Bachelor’s degree or higher in Computer Science, Economics, Mathematics, Statistics or a related technical field

· 5 to 8 years of experience in an data-related role

· Excellent knowledge of SQL (dbt experienced preferred), Python and pandas

· Very good knowledge of statistics, ML models and ML services/infra

· Good knowledge of data modeling, relational databases, normalization, OLAP stores

· Good writing, communication and presentation skills

· Familiar with a business intelligence tool (e.g. Tableau, Looker, PowerBI)

Preferred Qualifications:

· Prior experience in the financial services and alternative investments

· Prior experience with Product or Marketing Analytics (e.g. adoption/retention analyses, customer journey, user segmentation, CLTV/CAC calculations, conversion funnels)

Salary & Benefits 

The base salary range for this role is $120,000 to $170,000, depending on experience, plus full benefits and bonus potential


UX/UI Designer - Vice President - Full-time - Hybrid
New York, United States
DIRECT HIRE
  • TERMS: direct hire

For our direct client, a fast-growing fintech company with offices in NYC, Connecticut, and New Jersey, seeks an experienced UX Designer to conceptualize and enhance features for the firm's online FinTech product, employing user experience, interaction and visual design skills to achieve a simple, modern experience. The ideal candidate understands the overlap of these three design areas well, and embraces a creative process integrating them throughout. They have a love for clean visual design, recognize strong UX, and value collaboration and problem solving. This hire would remain at the forefront of new digital trends and UX design best practices to help optimize the client experience, increase product adoption and scale growth. 

Responsibilities 

  • Create pixel-perfect designs and prototypes leveraging the firm's Design System  
  • Proactively suggest improvements to the platform, not only in reaction to request 
  • Rely on qualitative and quantitative data to drive design decisions 
  • Create wireframes and prototypes using the Lean UX methodology to solve business needs and problems  
  • Provide clearly defined specs and interaction guidelines to the Development team 
  • Work closely and autonomously with Developers and Product Managers to test and review online product enhancements to ensure flawless execution 
  • Manage multiple concurrent requests and requirements 
  • Step outside the design realm when appropriate to contribute to the team and overall company mission 
  • Present work to all levels of the company with confidence 
  • When necessary, lead, coach and mentor other designers on the team 

Qualifications 

  • Bachelor's Degree (BA or BFA) with 10+ years of demonstrated experience solving design challenges using user-centered design best practices. 
  • Experience leading teams, including performance management, hiring, coaching and mentoring 
  • Solid understanding of major design applications specifically Figma 
  • Experience in both (mobile & desktop) web and app applications 
  • History of teamwork and willingness to roll up sleeves and get the job done 
  • Strong interpersonal and presentation skills; proven ability to influence and communicate effectively 
  • Experience in FinTech / financial services and familiarity with product internationalization and WCAG accessibility guidelines are preferred 

 

Benefits

The base salary range for this role is $150,000 to $180,000 (inclusive only of base salary, and exclusive of other potential competitive benefits such as bonus payments, and equity). Our ranges are very broad to accommodate all types of candidates and encourage growth. Specific compensation offered to a candidate may be dependent on factors such as education, experience, qualifications, and alignment with market data. Exceptional candidates may receive salaries outside of the posted ranges.


Data and Analytics Lead Consultant - Long-term Contract - Hybrid
Montvale, New Jersey, United States
CONTRACT
  • TERMS: contract
Our direct client, a prestigious global firm, seeks an experienced consultant with 8-10 years' experience to join the team for a long-term (12 Mo + Project).  The consultant will play a key role in building modern data solutions that drive transformation and innovation. This consultant will focus on data ingestion, transformation, and analytics—delivering scalable, high-performance solutions that position the firm for the future.

The ideal candidate will have a proven track record of designing and implementing end-to-end data pipelines and analytics platforms. While expertise in Microsoft Fabric is an advantage, the consultant should be capable of assessing and articulating opportunities beyond the Microsoft stack to identify the best technologies for the firm's evolving needs.

Key Responsibilities:
  • Design and develop data ingestion, transformation, and analytics solutions that enhance decision-making and operational efficiency.
  • Work closely with stakeholders to identify business opportunities and technical strategies that align with long-term data goals.
  • Provide insights into MS Fabric capabilities while also evaluating other cloud and open-source data solutions for the best fit.
  • Build scalable, high-performance data platforms, ETL pipelines, and analytics workflows.
  • Drive best practices for data governance, security, and compliance in a global enterprise environment.
  • Collaborate with cross-functional teams including business leaders, data scientists, and IT teams to develop holistic solutions.
  • Optimize data architecture, storage, and processing frameworks for efficiency and cost-effectiveness.
Qualifications & Experience:
  • 8-10 years of hands-on experience in data engineering, analytics, or cloud-based data solutions.
  • Strong expertise in data ingestion, transformation, and analytics pipeline development.
  • Familiarity with Microsoft Fabric and the ability to evaluate its role in a modern data ecosystem.
  • Experience working with cloud platforms (Azure, AWS, GCP) and hybrid data solutions.
  • Hands-on knowledge of ETL tools, data lakes, data warehouses, and modern analytics frameworks.
  • Proficiency in SQL, Python, Spark, or other data engineering languages.
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to translate business requirements into technical solutions and articulate benefits to stakeholders.
Note this position is 3 days/week (Tuesday-Wednesday-Thursday)  on-site in Montvale, New Jersey.   Candidates must reside or move themselves to be within driving distance of the work-site.  

AI/ML NLP Engineer - Hybrid:
New York, United States
DIRECT HIRE
  • TERMS: direct hire
AI/ML – NLP Engineer – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for an AI/ML NLP Engineer.  The team is developing cutting edge solutions to establish a unique competitive edge for the firm. As a senior AI/ML - NLP Engineer on our team, you will be responsible for designing, developing, and implementing AI/ML models for natural language processing (NLP) applications. This would involve working with large datasets, selecting appropriate algorithms and techniques, training or fine-tuning models to achieve optimal performance, and deploying and monitoring model performance in production. You will be working in a collaborative team environment across product management, data engineering, and software engineering teams. If you are passionate about leveraging machine learning techniques to drive innovation and have a strong background in developing scalable solutions, we would love to hear from you. 2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $160-200K range DOE, plus generous bonus and stock options.  Responsibilities
  • Design, develop, train, and deploy AI/ML models to solve business problems through a full development and production cycle in the FinTech domain. 
  • Evaluate and compare the performance of different AI/ML algorithms and models. 
  • Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures to ensure efficiency, scalability, and maintainability. 
  • Ensure the reliability, robustness, and scalability of machine learning models in production environments. 
  • Collaborate with cross-functional teams, including product managers and full stack engineers, to deliver scalable machine learning solutions. 
  • Understand business requirements, communicate with stakeholders, and mentor junior team members. 
Qualifications
  • 4-6+ (mid-career) years of experience as a hands-on data scientist or AI/ML engineer in AI/ML/DS fields. 
  • Advanced degree (Masters, PhD) in a relevant field (AI/ML/DS, mathematics, computer science, etc.).  
  • Experience working with Large Language Models, such as GPT-4, Llama 2, and other commercial or open-source models in production environment.  
  • Proficiency in programming languages commonly used in NLP, such as Python, and libraries/frameworks like TensorFlow, PyTorch, or spaCy and strong understanding of software engineering principles and best practices. 
  • Strong knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering, etc.) 
  • Knowledge of machine learning algorithms and statistical techniques, their limitations and implementation challenges 
  • Experience with cloud platforms and distributed computing environments for NLP tasks, such as AWS, Google Cloud, or Azure 
  • Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation.   
  • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment. 
  • Strong communication skills and the ability to effectively articulate technical concepts to both technical and non-technical audiences. 
Nice to Haves:
  • Publications, conference talks, and/or patents in AI/ML/DS or related fields 
  • Experience with data visualization tools and techniques to effectively communicate and present findings. 
  • Experience with data transformation tool (such as dbt) and orchestration tool (such as Airflow). 
  • Portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc. 
  • Experience working in Finance or Financial Technology (FinTech). Understanding of regulatory and compliance requirements in the financial industry and their implications for machine learning applications.