Data Scientist jobs at Bank Of America in United States, New York

Job Description:

Job Description:
This job is responsible for handling moderately complex operations processes related to credit disputes, escalations and tax reporting. Key responsibilities include analysis, research, reconciliation, reporting data validation and resolution of issues and identified customer requests which may carry high levels of risk within enterprise risk categories. Job expectations include handling moderately complex transaction processing, reconciliation, and resolution of research requests to clients, consumer reporting agencies or taxing authorities, consulting with management for support.

This job is responsible for the analysis and resolution of tax operations processes and issues that require coordination of multiple stakeholders.Key Responsibilities:
• Perform US IRW Tax Withholding and Reporting function
• Service tax related client inquiries and escalations particularly for the Prime Brokerage business
• Liaise with associates at all levels across global locations
• Participate in ad hoc projects for new processes, regulatory & industry initiatives
• Compile metrics and quality assurance results with a high degree of focus on regulatory controls
• Adhere to defined procedures and regulatory requirements

Responsibilities:

• Performs moderately complex activities supporting credit disputes, escalations, and tax reporting while following established written procedures and guidelines and ensuring accurate and timely delivery
• Researches and resolves moderately complex financial data requests or exceptions based on analysis of assembled data in an accurate and timely manner
• Performs routine analytics, report creation, and exception processing
• Identifies risk and opportunities for process improvement based on an understanding the work impacts other operational units and escalates risk concerns, as appropriate
• Provides quality service and support for internal business partners and external clients

• Proficient in Microsoft applications, in particular, Excel
• Strong reconciliation and problem solving skills
• Ability to multitask and work independently in a fast paced environment
• Excellent people management skills
• Strong organizational, analytical problem-solving skills
• Excellent written and verbal communication skills
• College degree or comparable work experienceDesired Skills:

•Chapter 3, 4, 61, 1099/1042s, and 871m knowledge
• Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions.
• Excels in working among diverse viewpoints to determine the best path forward
• A continuous learner
• Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base

Skills:

• Customer and Client Focus
• Oral Communications
• Written Communications
• Adaptability
• Attention to Detail
• Critical Thinking
• Problem Solving
• Active Listening
• Collaboration
• Result Orientation
• Stakeholder Management

Representative Projects:

• Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients

• Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions

• Develop AI models that shift foreign currency conversion “up the payment stream,” reducing reliability on beneficiary banks

• Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality

Who we’re looking for:

As aon the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue-driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time-series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve.

Responsibilities:

• Frame abstract business problems using advanced data science and machine learning algorithms

• Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions

• Own critical research and application development, strengthening the firm's competitive advantage

• Shape cross-team collaboration to advance the firm's data science capabilities

Required Skills:

• Minimum Bachelor’s degree in a quantitative field such as computer science, math, statistics, and physics

• Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++)

• Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI)

• Prior experience working in a highly technical data driven research environment

• Ability to communicate complex topics in a concise and coherent manner

Desired Skills:

• Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics

• Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning

• Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever

• Are excited to dive into new technical areas on a regular basis

Job Description:

Financial Data and Reporting Ops Analyst is responsible for overseeing the accuracy and timeliness of delivery for statements, fee disclosures, confirmations and other correspondence sent to 401(k) plan participants and sponsors.

• Complete inline quality assurance testing of various statements and correspondence to validate that information on the document matches data from the system of record

• Partner with line of business and product owners to resolve discrepancies between the document and system of record

• Review reporting to reconcile statements and correspondence ordered to match volumes delivered to clients

• Complete user acceptance testing for development of new correspondence and changes to existing templates

Responsibilities:

• Performs moderately complex activities supporting credit disputes, escalations, and tax reporting while following established written procedures and guidelines and ensuring accurate and timely delivery

• Researches and resolves moderately complex financial data requests or exceptions based on analysis of assembled data in an accurate and timely manner

• Performs routine analytics, report creation, and exception processing

• Identifies risk and opportunities for process improvement based on an understanding the work impacts other operational units and escalates risk concerns, as appropriate

• Provides quality service and support for internal business partners and external clients

Skills:

• Customer and Client Focus

• Oral Communications

• Written Communications

• Adaptability

• Attention to Detail

• Critical Thinking

• Problem Solving

• Active Listening

• Collaboration

• Result Orientation

• Stakeholder Management

Job Description:

TD Securities Compliance team is seeking a Director-level candidate to lead the Surveillance Data Quality Team. This is a global role, the incumbent will work with the Trade and Communications Surveillance leads across geographies (US, Canada, EMEA, and APAC), as well as key stakeholders to design and deliver an industry-leading data-qualityframework. Specifically,the incumbent will work with TDS Chief Data Officer (CDO), Data and Delivery Initiatives (DDI) team, Compliance Technology, First-Line Risk and Control, and Front Office Technology to deliver a Surveillance data quality framework that includes: policies and procedures for effective data governance; data completeness and accuracy checks; surveillance inventories (define surveillance critical data elements); data-quality monitoring tooling and metrics. The incumbent will work closely with the CDO, Compliance Technology, and Front Office Technology teams design, build and maintain a robust data quality framework. Additionally, the incumbent will be required for indefinity, assess, prioritize, and track to completion data deficiencies that require remediation by Front Office Technology, Compliance Technology, and/or CDO. This role is critical in ensuring the accuracy, completeness, and timeliness of data used to detect market abuse, financial misconduct, and regulatory violations. The ideal candidate will have deep expertise in financial markets, data governance, trade surveillance systems, and regulatory requirements at a large investment bank/systemically important financial institution in the US.

Responsibilities:

• Data Governance & Quality Strategy: Develop and implement a robust data quality framework for trade surveillance, ensuring data integrity across multiple trading desks and asset classes.

• Surveillance Data Management: Oversee the ingestion, transformation, and validation of trading data from multiple sources (e.g., order management systems, execution platforms, and market data feeds).

• Regulatory Compliance & Risk Management: Ensure TDS meet regulatory requirements as it related to surveillance data (e.g., SEC, CFTC, NFA, FINRA, FCA, CIRO, etc.) and aligns with internal compliance policies.

• Technology & Automation: Collaborate withTechnology teams and the CDO to enhance data pipelines, improve data validation processes, andcreate monitoring tools todetect anomalies in surveillance data.

• Cross-Functional Leadership: Partner with Compliance, Risk, Trading, and Technology teams to optimize data workflows and enhance the effectiveness ofTDS's Surveillance program.

• Issue Resolution & Root-Cause Analysis: Investigate and remediate surveillance data-quality issues, implement controls to prevent recurrence, and enhance reporting mechanisms for seniormanagement.

• Stakeholder Engagement: Serve as primary contact to Trade Surveillance teams, CDO, Compliance Technology, and Front Office Technology on surveillance data quality issues. Engage with regulators and Internal Audit as needed to address any question s or inquiries related to TDS's surveillance data quality framework. Present in governance meetings.

Depth & Scope

• Accountable for a significant area(s)/broad business units of Compliance that typically has enterprise wide impact or accountability.

• Position deals with senior/executive management.

• Key contact for business management, regulators and external/internal auditors, dealing with a broad range of issues including non-routine information.

• Focuses on longer-range planning for functional area (e.g. 12 months or greater).

• Manages and prioritizes multiple projects at a given time.

Education & Experience:

• Bachelors degree or progressive work experience

• 7-10 years related experience

PreferredQualifications:

• 10 years of experience in surveillance data quality at a large investment bank/systemically important financial institution (SIFI) in the US.

• Demonstrated expertise in datacreating and maintaining a robust surveillance datagovernance framework, trade surveillance tools (e.g., SMARTS, Actimize, and Trading Hub), and communications surveillance tools (e.g., Behavox).

• Deep understanding of trading in equities, fixed income, FX, and derivatives markets, as well as market abuse and trade manipulation typologies

• Experience leading a large remediation project related to trade and communications surveillance data, preferably at SIFI.

• Demonstrated experience in leading cross-functional teams and driving strategic initiatives in a fast-paced, highly regulated environment

• Deep understanding of trading in equities, fixed income, FX, and derivatives markets, as well as market abuse and trade manipulation typologies

• Proficiency in SQL, Python, or other data analytics tools for large-scale data processing and validation.

• Stronganalyticalskills,attentiontodetail,andabilitytocommunicatecomplexdataconcepts to non-technical stakeholders.

• Knowledge of cloud-based data architectures (e.g., AWS, Azure, GCP) and big datatechnologies.

• Experience with Al/ML-driven surveillance models and automationtechniques.

• Advanced degree in Finance, Data Science, Computer Science, or relatedfields.

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

• Domestic Travel: Occasional

• International Travel: Never

• Performing sedentary work: Continuous

• Performing multiple tasks: Continuous

• Operating standard office equipment: Continuous

• Responding quickly to sounds: Occasional

• Sitting: Continuous

• Standing: Occasional

• Walking: Occasional

• Moving safely in confined spaces: Occasional

• Lifting/Carrying (under 25 lbs.): Occasional

• Lifting/Carrying (over 25 lbs.): Never

• Squatting: Occasional

• Bending: Occasional

• Kneeling: Never

• Crawling: Never

• Climbing: Never

• Reaching overhead: Never

• Reaching forward: Occasional

• Pushing: Never

• Pulling: Never

• Twisting: Never

• Concentrating for long periods of time: Continuous

• Applying common sense to deal with problems involving standardized situations: Continuous

• Reading, writing and comprehending instructions: Continuous

• Adding, subtracting, multiplying and dividing: Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition.

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Job Description:

Global Corporate & Investment Banking (GCIB) is enhancing its data management capabilities. The Data Steward (DSE) team will play a pivotal part in driving the enhancement and its ongoing sustainment. This role requires a strategic approach to managing the risk and business enablement priorities from data perspective. It also requires partnering with stakeholders in GCIB and the rest of the Enterprise to drive regulatory adherence, strengthen frameworks for data governance, architecture and assets, enhance operational excellence and meet GCIB’s goal to be the best-in-class. The role covers key data management pillars – adherence to policy/standards, governing and managing data incident/issues, delivering GCIB’s data strategy roadmap along with related initiatives and supporting GCIB leadership in making informed decisions. Specific focus will include accountability for data sourcing for governed reporting, key business reporting as well as oversight of records management in GCIB.

Key responsibilities include but are not limited to:

• Transform GCIB’s data strategy into executable plans and oversee completion. Adapt strategy according to near-term priorities and long-term roadmap
• Review data sourcing for governed reporting as well as key business reporting; ensure data used is fit-for-purpose and high quality; document plans for remediating gaps and execution for completion
• Oversee records management in GCIB, partnering with records coordinators as well as teams managing data classification and other information security standards
• Ensure compliance with applicable policies and standards
• Engage in audits, regulatory exams and target assessments
• Coordinate across GCIB product areas to ensure consensus on approach for new programs
• Escalate risks to programs. Partner with key stakeholders and develop solutions and deliver mitigating actions in support of successful completion of the program
• Develop strong relationships to navigate the complexities of gaining buy-in, building consensus, and resolving conflicts in a large, distributed organization
• Ensure GCIB’s regulatory and risk reporting inventory is compliant with regulatory and enterprise requirements for data

Key Requirements:

• 15+ years of experience in risk programs; Experience in similar role (preferred)
• Prior experience in roles requiring data policy and standards implementation and adherence
• Strong leadership qualities and result driven approach
• Excellent verbal and written communication skills and ability to simplify and summarize complex data priorities / technical concepts to executive stakeholders
• Ability to work in fast-paced, work-intensive organization and be able to adapt to changing priorities while delivering with high accuracy
• Passion for building a culture of collaboration and team-work
• Experience with dealing with complexity of Global data issues and regulations
• Understands GCIB business and products and can take ownership of delivery
• Ability to operate independently and collaborate across wide span of stakeholders including bankers, senior leaders, risk partners and regulators / auditors
• Control focused mindset and good understanding of regulatory and reputational risks

Job Description:

Job Description:
This job is responsible for handling moderately complex operations processes related to credit disputes, escalations and tax reporting. Key responsibilities include analysis, research, reconciliation, reporting data validation and resolution of issues and identified customer requests which may carry high levels of risk within enterprise risk categories. Job expectations include handling moderately complex transaction processing, reconciliation, and resolution of research requests to clients, consumer reporting agencies or taxing authorities, consulting with management for support.

This job is responsible for the analysis and resolution of tax operations processes and issues that require coordination of multiple stakeholders.
Key Responsibilities:
• Perform US IRW Tax Withholding and Reporting function
• Service tax related client inquiries and escalations particularly for the Prime Brokerage business
• Liaise with associates at all levels across global locations
• Participate in ad hoc projects for new processes, regulatory & industry initiatives
• Compile metrics and quality assurance results with a high degree of focus on regulatory controls
• Adhere to defined procedures and regulatory requirements

Responsibilities:

• Performs moderately complex activities supporting credit disputes, escalations, and tax reporting while following established written procedures and guidelines and ensuring accurate and timely delivery
• Researches and resolves moderately complex financial data requests or exceptions based on analysis of assembled data in an accurate and timely manner
• Performs routine analytics, report creation, and exception processing
• Identifies risk and opportunities for process improvement based on an understanding the work impacts other operational units and escalates risk concerns, as appropriate
• Provides quality service and support for internal business partners and external clients

• Proficient in Microsoft applications, in particular, Excel
• Strong reconciliation and problem solving skills
• Ability to multitask and work independently in a fast paced environment
• Excellent people management skills
• Strong organizational, analytical problem-solving skills
• Excellent written and verbal communication skills
• College degree or comparable work experienceDesired Skills:

•Chapter 3, 4, 61, 1099/1042s, and 871m knowledge
• Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions.
• Excels in working among diverse viewpoints to determine the best path forward
• A continuous learner
• Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base

Skills:

• Customer and Client Focus
• Oral Communications
• Written Communications
• Adaptability
• Attention to Detail
• Critical Thinking
• Problem Solving
• Active Listening
• Collaboration
• Result Orientation
• Stakeholder Management

Role Responsibilities:

• Enhance data governance and control framework of data managed by the Global Markets LOB.
• Conduct research of issues related to data quality, definitions, transformations, and applications for specific use cases.
• Identify opportunities and define solutions to continue to improve data quality and business processes

• Collaborate across Global Markets, Market Risk, Finance, PMO and Technology on Regulatory & Strategic Initiatives

Required Skills:

• Bachelor's degree or equivalent years of work experience
• Strong knowledge of financial markets and traded products
• In depth knowledge of one or more areas within Global Markets or related functions
• Experience in managing discussions with multiple stakeholders
• Strong analytical, critical thinking and problem solving skills
• Ability to facilitate discussions across various levels of stakeholders
• Project management skills, ability to multitask and properly prioritize multiple projects
• Good communication, interpersonal and organizational skills
• Ability to work with large datasets using advanced Excel or SQL

Desired Skills:

• Knowledge of the various functions within Global Markets trading organization and other functions interacting with Global Markets, such as Operations, Risk, Finance
• Degree in Computer Science, Finance, or a Quantitative field
• Experience in designing, testing, and implementing new data quality controls