Quantitative Research Analyst jobs

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Key Responsibilities:

• Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques

• Design novel architectures and training methodologies for domain-specific language models in financial services

• Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale

• Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance

• Deploy foundation models into production environments to drive business insights and enhance customer experiences

• Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions

• Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions

• Mentor junior researchers and contribute to technical strategy for foundation model initiatives

Preferred Qualifications:

• PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent

• 1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)

• Deep expertise in transformer architectures, attention mechanisms, and modern training techniques

• Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)

• Strong background in NLP, deep learning, and statistical machine learning

• Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Job Description:

Job Description:

This job is responsible for influencing and driving optimal bank-wide liquidity strategies by Lines of Business (LOBs) and legal entity in business as usual (BAU) and stress scenarios. Key responsibilities include overseeing and influencing liquidity utilization across the organization and providing input into process and control designs, operational risk mitigation, issue management, automation, and other initiatives across the bank.

Responsibilities:

• Measures, analyzes, monitors, and reports on the bank's spot and forecasted liquidity position, provides guidance to business units to improve liquidity position, and supports regulatory and management liquidity reporting.
• Oversees processes, risks, and controls and tracks and monitors issues to ensure adherence with policies, risk standards, and compliance with internal and regulatory liquidity reporting requirements.
• Partners with other Lines of Business (LOBs) to determine limits, guidelines, and direction, ensuring alignment with overall business objectives and the bank's risk framework.
• Monitors liquidity risk trends relating to business activities and correlations between business drivers and liquidity usage and builds out enhanced liquidity reporting.
• Streamlines reporting processes and builds out analytic capabilities using emerging technology (e.g., Alteryx, Tableau, etc.)
• Provides input into monthly and quarterly reporting, disclosures, and presentations for Risk Committees, Board of Directors, and enterprise and local regulators.

Required Qualifications:

• 2+ years of industry experience working with financial products.
• Energetic and self-motivated. Candidate should have a strong intellectual curiosity.
• Strong quantitative background including excel modelling.
• Excellent communication skills – both written and verbal
• Ability to drive project goals across functions with minimal oversight.
• Analytical Thinking
• Financial Forecasting and Modeling
• Attention to Detail

Desired Qualifications:

• Prime Brokerage, derivatives or secured funding (either regulatory, reporting or business)
• Working knowledge of regulatory liquidity framework

Skills:

• Analytical Thinking
• Financial Forecasting and Modeling
• Liquidity Management
• Regulatory Compliance
• Reporting
• Attention to Detail
• Benchmarking
• Data and Trend Analysis
• Financial Analysis
• Scenario Planning and Analysis
• Business Acumen
• Financial Management
• Monitoring, Surveillance, and Testing
• Policies, Procedures, and Guidelines
• Risk Management

Job Description:

Job Description:
This job is responsible for handling complex and escalated customer situations regarding possible fraudulent account activity. Key responsibilities include receiving inbound calls and takes appropriate action requiring accuracy on complex transactions. Job expectations include performing functions related to research and resolution of fraudulent activity, service support, and delivering practical, innovative solutions to clients while focusing on retention and re-establishing client confidence.

Wealth Management Fraud & Claims associates will handle inbound calls from clients, branch offices, banking centers, and various internal associates. They will also be responsible for the claim initiation and status updates of various fraud and billing disputes, on our clients’ bank accounts. Associates will handle a wide variety of claim types including but not limited to: credit card, debit card, ATM, check fraud, ACH, and online wire transfers for wealth banking products.

Responsibilities:

• Services banking products with high-risk activity to maximize approval of legitimate transactions, minimize client impact at the point of sale, identify fraudulent activity and restrict account activity
• Assists Fraud Strategy partners with development of new tactics by facilitating controlled tests and simulations within the production environment
• Tests existing customer facing capabilities (credit, debit, transactions, deposit activity, and online activities) for unknown vulnerabilities resulting in potential fraudulent exploitation and unplanned loss
• Participates in triage related to Executive Escalations & Incident Response fraud activities
• Reviews and investigates reports of suspected fraudulent activity with accurate recording of data captured during client interactions
• Follows established processes and guidelines in daily activities to do what is right for clients and the bank, adhering to all applicable laws and regulations
• Assist clients and internal partners with banking claim and suspicious alert inquiries, initiation and updates

* 1st and 2nd shifts available : Tuesday through Saturday : 10:00 am EST to 8:00 pm EST flexibility

Required Qualifications:

• 1+ years of fraud servicing or call center experience.
• Has strong analytical and organizational skills and demonstrates the ability to solve complex problems by reviewing related information
• Demonstrates a strong sense of urgency and is able to work in a fast-paced, ever-changing environment with a strong focus on risk mitigation and client experience.
• Displays passion, integrity, commitment and drive to deliver a positive, differentiated service that improves our clients’ financial lives
• Fully understands how life events can impact a client’s financial situation and is prepared to actively advise solutions and analyze/resolve complex client problems through creative solutions
• Commitment to excellent attendance with proven reliability and can adhere to the agreed upon work schedule
• Dependable team-player attitude with an understanding that calls must be handled immediately, including weekends and holidays
• Communicates effectively and confidently with all clients to make their financial lives better
• Ability to engage with clients while navigating multiple screens – begin a conversation, anticipate what questions a client will have, actively share information using plain language, build rapport, and handle objections
• Comfortable receiving ongoing performance feedback and coaching
• Ability to learn and adapt to new information and technology platforms
• Minimum of an intermediate level of proficiency with computers and current technology

Desired Qualifications:

• Experience in a call center or a financial/banking center
• Fraud Detection and Prevention
• Credit Risk

Skills:

• Customer and Client Focus
• Data Collection and Entry
• Due Diligence
• Issue Management
• Oral Communications
• Active Listening
• Adaptability
• Attention to Detail
• Policies, Procedures, and Guidelines
• Written Communications
• Business Acumen
• Collaboration
• Critical Thinking

High School Diploma / GED / Secondary School or equivalent

• Performs onboarding and maintenance of accounts and reviewing required account documentation.
• Responds to moderately complex client inquiries via numerous channels to support operational efficiency and quality client service
• Reviews and approves required account documentation
• Proactively identifies risk and opportunities for process improvement based on an understanding the work impacts other operational units
• Performs moderate levels of research, follow-up and resolution of more complex routine research requests

• Account Management
• Customer and Client Focus
• Oral Communications
• Research
• Analytical Thinking
• Attention to Detail
• Collaboration
• Problem Solving
• Prioritization
• Recording/Organizing Information
• Result Orientation

• Performs an accuracy, completeness and risk assessment of documentation or client account information, identifies and resolves any discrepancies or gaps, then approves/declines the request for account opening or maintenance according to the established written guidelines and procedures.
• Researches and resolves incomplete submissions by utilizing procedures and established guidelines and engaging support partners when needed.
• Responds to internal business partner inquiries related to requests via phone and email and escalates more challenging issues to leadership as needed.
• Understands the process flow from end to end including the reasons for each step, the process controls, the risks within the process and the upstream/downstream impacts of their work based on an understanding the work impacts other operational units.

Job Description:

Job Description:

The
Data Operations Analystsupports the Service Asset Configuration Management (SACM) Operations team which is responsible to ensure the assets (hardware/software) required to deliver services are properly controlled, and that accurate and reliable information about those assets are available when and where it is needed. The SACM Operations team provides reporting and operational capability for managing the inventory within the CMDB; including management of the Remedy internal product catalog.

This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.

Responsibilities:

• Manage workorder queue for asset management activities within the CMDB.
• Perform analytical analysis and assessments of data integration sources into the Master Data Warehouse
• Perform and communicate data consistency and accuracy assessments across key IT infrastructure SORs
• Drive future data standardization and quality measurements based on analysis outcomes
• Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
• Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria
• Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process
• Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes
• Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
• Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
• Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes

Required Qualifications

• 3+ years Experience in Data Analysis or Data Integration
• SQL skills against industry standard DBMS (Cloudera, IBM, Trino, Oracle, SQL Server)
• Experience with problem management and ability to dive into root cause analysis.
• Experience with Data quality issues and development of metrics to support improvement of the data quality
• Basic technology knowledge with regards to terminology and database methodology.
• Strong interpersonal and business skills to achieve cooperation/coordination of multiple tasks being performed
• Ability to communicate effectively to multiple levels in technology organization
• Ability to effectively deal with multiple deadline-driven, customer-sensitive projects and tasks
• Strong time management and task prioritization skills
• Ability to communicate clearly and concisely verbally and in writing
• Ability to work with Senior management both on the Technology as well as Business
• Ability to assess and suggest changes to the Master Model over time
• Ability to provide input to reporting and integration requirements

Desired Qualifications

• ServiceNow ITSM experience
• ITIL 4
• Bachelor's degree in Technology from an Accredited University

Skills:

• Analytical Thinking
• Application Development
• Data Management
• Agile Practices
• Collaboration
• Decision Making