Specialist Developer Specialist Developer …

BNY Mellon
à New York, NY, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
BNY Mellon
à New York, NY, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Specialist Developer
As a global investments company, BNY Mellon can act as asingle point of contact for clients looking to create, trade, hold, manage,service, distribute or restructure investments, and safeguards nearly one-fifthof the world's financial assets. Every day, our Technology employees make thishappen while also seeking out new ways to do it more efficiently andeffectively.

As part of BNY Mellon's global Technology organization,you'll have the opportunity to engage with some of the best and brightest,technology, business, and financial minds to find new and better ways to exceedour clients' expectations and build the future of financial services. With morethan 230 years of industry leading experience under our belts, you might evensay that we are the original fintech. Clearing, Markets & Issuer Services Technology (CMIST) is responsible forapplication development and support for more than 350 critical business systemsincluding Repo Edge (collateral management), Enterprise Payment Hub(multi-currency payment processing), and Broker Dealer Clearance (securitiesclearing). Treasury Services Technology (TST) within CMIST leads the development and maintenance ofstate-of-the-art technology solutions for the Treasury Services business. TSTis aligned with the business into five sub-segments including: Global Payments,Information & Liquidity, Payments and Receivables, Enterprise FinancialMessaging (EFM) and Trade Services. Because of TST'sindustry-leading solutions, BNY Mellon is the first bank to participate inReal-Time Payments processing and provide full transparency into the status ofpayments.

Emerging Technology team within Treasury Services Tech isconsidering hiring a Machine Learning Engineer for their ongoing projects.Following are the responsibilities:

Responsibilitiesfor Machine Learning Engineer
  • Work with stakeholders throughout the organization on opportunities that have been identified and prioritised.
  • Mine and analyse data from different business applications within bank and identify potential business insights that can be leveraged by our business teams.
  • Build predictive modelling capabilities to support specific technical and business outcomes.
  • Coordinate with technical and functional teams to implement models into production regions.
  • Develop processes and tools to monitor and analyse model performance and data accuracy.
Specialist Developer->> Provides application software development services or technical support in more complex situations. May also be responsible for requirements gathering and BRD/SRD preparation. Has thorough knowledge of the Software Development Life Cycle. Conducts reviews of the test Plan and test Data. May allocate/ coordinate work within a team/project. Analyzes, defines and documents requirements for data, workflow, logical processes, hardware and operating system environment, interfaces with other systems, internal and external checks, controls, and outputs using BNY Mellon's standard development methodology. Coordinates coding, testing, implementation and documentation of solution. Ensures that expected application performance levels are achieved. Contributes to defining time tables and project plans. Analyzes and estimates feasibility, cost, time, and compatibility with hardware and other programs. Conducts analysis of organizational needs and goals for the development and implementation of application systems. Proposes innovative, creative technology solutions. Contributes to the achievement of related teams' objectives.

Qualifications

This person filling this position will need to have a wide range of technical competencies including machinelearning, natural language processing, coding languages such as Python/R etc,relational database querying, and reporting technologies. This person will needto utilize their analytical, statistical, and programming skills to collect,analyse, and interpret large data sets from bigdata data bases such asMongo / Hadoop.. This person will then use this information to developdata-driven solutions to the banks business challenges. This person must havestrong experience using a variety of data mining/data analysis methods using avariety of data tools, build and implement models & algorithms andcreating/running simulations. This person must be comfortable working withoffshore / onsite technical teams and functional teams.

Preferred Qualifica tions
  • At least one demonstrable analysis that was performed by the candidate on data from 3rd party data providers such as Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • 10 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets from big data databases such as Mongo , Hadoop etc.
  • Knowledge of a variety of machine learning techniques (deep learning, clustering, decision tree learning, artificial neural networks, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis etc.) and their real-world advantages/drawbacks.
  • Experience with cloud tools & frameworks such as H20, Tensorflow, PyTorch etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required, 6-8 years of experience in software development required, experience in the securities or financial services industry is a plus.
BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer.
Minorities/Females/Individuals With Disabilities/Protected Veterans.

Our ambition is to build the best global team - one that is representative and inclusive of the diverse talent, clients and communities we work with and serve - and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.

Primary Location: United States-New York-New York
Internal Jobcode: 45144
Job: Information Technology
Organization: Clearing Markets ISS Svcs Tech-HR16624
Requisition Number: 2003004
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